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College of Arts & Sciences
Department of Statistics


Past Colloquia

Fall 2016 and Spring 2017

  • Thursday, August 25: Edsel Pena, University of South Carolina ---Truth, Knowledge, P-Values, Bayes, & Inductive Inference
  • Thursday, September 8Jun Li, Kent State University --- Temporal Homogeneity Test of High-Dimensional Means
  • Tuesday, September 15: Rui Song, North Carolina State University --- Minimax-Angle Learning for Optimal Treatment Decision with Heterogeneous Data
  • Thursday, September 22: Debdeep Pati, Florida State University --- Bayesian community detection and goodness of fit tests in stochastic block models
  • Thursday, September 29: Stan Young, National Institute of Statistical Sciences --- Local Control Analysis of Radon and Ozone
  • Thursday, October 6: Subha Chakraborti, University of Alabama (postponed until spring)
  • Thursday, October 20: Xiaogang Su, University of Texas at El Paso
  • Thursday, October 27: Ping-Shou Zhong, Michigan State University
  • Thursday, November 3: Samiran Sinha, Texas A&M University
  • Thursday, November 10: Enrique Schisterman, National Institute of Child Health and Human Development, National Institutes of Health
  • Thursday, December 1: Qi Zheng, University of Louisville
  • Wednesday, March 22 (Palmetto Lecture I): Raymond Carroll, Texas A & M University --- Building dietary index scores that are informed by disease data using data integration
  • Friday, March 24 (Palmetto Lecture II): Raymond Carroll, Texas A & M University --- Constrained maximum likelihood estimation for model calibration using summary-level information from external big data sources
  • Thursday, March 30, Brian Habing, University of South Carolina
  • Thursday, April 20: Subha Chakraborti,  University of Alabama

Spring 2016

  • Thursday, January 21:   Mijeong Kim, EWHA Womans University --- Semiparametric Efficient and Robust Estimators for Nonlinear Regressions and Selection Models
  • Thursday, February 4: Can Minh Le, University of Michigan --- Latent structure of sparse random networks
  • Tuesday, February 9: Karl Gregory, Universität Mannheim --- Pointwise inference in the high-dimensional additive model
  • Thursday, February 11: Dehan Kong, University of North Carolina --- High-dimensional Matrix Linear Regression Model
  • Thursday, February 18: Stephanie Hicks, Harvard University --- Tackling Systematic Errors in Genomics with Examples from Single-Cell RNA-Sequencing and DNA methylation
  • Thursday, February 25: Yen-Yi Ho, University of Minnesota --- Statistical Methods for Integrating Large-Scale Genomic Data and Identifying Higher-Order Interactions
  • Tuesday, March 1: Guoshuai Cai, Dartmouth College --- Differential Expression and Methylation-expression Integration Analyses in RNA-seq
  • Thursday, March 24, Palmetto Lecture 1: Anastasios (Butch) Tsiatis, North Carolina State University --- Optimal Treatment Regimes for Survival Endpoints from a Classification Perspective
  • Friday, March 25, Palmetto Lecture 2 (2:30 p.m., Capstone Building, First floor Conference Center): Anastasios (Butch) Tsiatis, North Carolina State University --- Inference on treatment effects from a randomized clinical trial in the presence of premature treatment discontinuation: The SYNERGY trial
  • Thursday, March 31: Kun Chen, University of Connecticut
  • Thursday, April 7: Hammou El Barmi, Baruch College, City University of New York --- Testing for uniform stochastic orderings via empirical likelihood under right censoring
  • Thursday, April 14: Gabriel Terejanu, University of South Carolina --- How can we ever trust extrapolative predictions?
  • Tuesday, April 19: Haiying Chen, Wake Forest University --- Multiple Imputation of Gait Speed in 400-meter Walk with Time Constraint in the Presence of Non-completers
  • Thursday, April 21: Paul Albert, NIH/NICHD --- Predicting poor pregnancy outcomes from multivariate Ultrasound Fetal Growth data

Fall 2015

  • Thursday, August 27:   Gongjun Xu, University of Minnesota --- Identifiability of Restricted Latent Class Models with Binary Responses
  • Thursday, September 3:   Runze Li, Penn State University --- Projection Test for High-Dimensional Mean Vectors with Optimal Direction

  • Thursday, September 10:   Xin He, University of Maryland --- A Model for Time to Fracture with a Shock Stream Superimposed on Progressive Degradation: the Study of Osteoporotic Fractures

  • Thursday, September 17:   Lingzhou Xue, Penn State University --- Sufficient Forecasting Using Factor Models

  • Thursday, October 1:   DoHwan Park, University of Maryland --- Empirical Null Using Mixture Distributions and Its Application in Local False Discovery Rate

  • Thursday, October 8:   Hao Helen Zhang, University of Arizona --- Interaction Selection for Ultra-High Dimensional Problems (CANCELED DUE TO WEATHER)

  • Thursday, October 15:   Samuel Müller, University of Sydney --- Graphical Model Stability and Variable Selection Procedures with mplot

  • Thursday, October 29:   Stephane Guerrier, University of Illinois --- Robust Inference for Time Series Models: A Wavelet-Based Framework

  • Thursday, November 5:   Roger Bilisoly, Central Connecticut State University --- Generalizing Distance and Moments for Text Mining

  • Thursday, November 12:   Yu Yue, City University of New York --- Bayesian Generalized ANOVA Modeling for Functional Data Using INLA
  • Thursday, November 19:   Neil Dorans, Educational Testing Service --- Linking Outcomes Obtained from Multiple Instruments

  • Thursday, December 3:  Linglong Kong, University of Alberta --- Partial Functional Linear Quantile Regression for Neuroimaging Data Analysis

Spring 2015

  • Thursday, January 22:   Yimin Xiao, Michigan State University --- Random Fields: An Introduction
  • Thursday, January 29:   Michael Schweinberger, Rice University --- High-Dimensional Exponential-Family Random Graph Models
  • Thursday, February 5:   Philip Dixon, Iowa State University --- Modeling seed viability over time to decide when to regenerate seed lots in long-term storage
  • Thursday, February 12:   Soumendra Lahiri, North Carolina State University --- Rates of convergence of the Adaptive LASSO estimators to the Oracle distribution and higher order refinements by the bootstrap
  • Thursday, February 26:   Paul De Boeck, The Ohio State University --- Modelling residual dependence between response times and accuracy in cognitive tests
  • Tuesday, March 3:   Naisyin Wang, (Palmetto Lecture 1), University of Michigan --- 2015 Palmetto Lecture 1: Parameter Estimation for Ordinary Differential Equations: A Discussion About the Use of Penalties
  • Friday, March 6:   Naisyin Wang, (Palmetto Lecture 2), University of Michigan --- 2015 Palmetto Lecture 2:  Bayesian Joint Modeling of Longitudinal Trajectories and Health Outcomes: Latent-Class vs Shared Random Effects Strategies
  • Thursday, March 19:   Rui Song, North Carolina State University --- Semi-Nonparametric and Machine Learning Methods for Personalized Medicine
  • Thursday, March 26:   Yingbo Li, Clemson University --- Mixtures of g-priors in Generalized Linear Models
  • Thursday, April 2:   Alyson Wilson, North Carolina State University --- Combining Information to Assess System Reliability
  • Thursday, April 23:   Bing Li, Penn State University --- Nonlinear Sufficient Dimension Reduction for Functional Data

Fall 2014


•    Thursday, September 4:   Mark Greenwood, Department of Mathematical Sciences, Montana State University
Monothetic Clustering and Extensions
 
•    Thursday, September 11:   Ying Wei, Department of Biostatistics, Columbia University
Quantile Analysis for secondary phenotypes in GWAS
 
•    Thursday, September 18:   John Grego, Department of Statistics, University of South Carolina
Future Directions in Graduate Training in Statistics and Biostatistics
 
•    Thursday, September 25:   Holmes Finch, Department of Educational Psychology, Ball State University
Modeling Change in Categorical Outcome Variables Using Multilevel Latent Transition Models
 
•    Thursday, October 2:   Tanya Garcia, Department of Epidemiology and Biostatistics, Texas A&M University
Improved Understanding of Huntington’s Disease Onset Through a Genetic Mixture Model with Genetic Biomarkers and Distribution-Free Random Effect
 
•    Thursday, October 9:   Pengsheng Ji, Department of Statistics, University of Georgia
Coauthorship and Citation Networks for Statisticians
 
•    Thursday, October 16:   Alex McLain, Department of Biostatistics, University of South Carolina
Analysis of current duration data: modeling strategies and competing risks
 
•    Thursday, October 30:   Anthea Monod, Department of Statistical Science, Duke University
Statistical Estimation of Random Field Thresholds Using Euler Characteristics
 
•    Thursday, November 6:   Peijie Hou, Department of Statistics, University of South Carolina
Hierarchical group testing for multiple infections
 
•    Thursday, November 13:   T.N. Sriram, Department of Statistics, University of Georgia
Robust Sequential Confidence Intervals
 
•    Thursday, November 20:   Zizhen Wu, Department of Statistics, University of South Carolina
A Bayesian Method for Simultaneous Registration and Clustering of Functional Observations
 
•    Friday, November 21 at 12:00-12:50 p.m.:   Christine Franklin, Department of Statistics, University of Georgia
Statistics and K-16: Great Opportunities and Challenges


Spring 2014

•    Tuesday, January 21:   Lizhen Lin, Department of Statistical Science, Duke University
     Shape constrained regression using Gaussian process projections
 
•    Thursday, January 30:   Eric Lock, Departments of Statistical Science and Medical Genetics, Duke University
     Exploratory Methods for the Integrated Analysis of Multi-Source Data
 
•    Tuesday, February 4:   Dewei Wang, Department of Mathematical Sciences, Clemson University
     Semiparametric group testing regression models
 
•    Thursday, February 6:   Paul Kvam, School of Industrial and Systems Engineering, Georgia Tech
     Length Bias in the Measurements of Carbon Nanotubes
 
•    Tuesday, February 11:   Yanyuan Ma, Department of Statistics, Texas A & M University
     Efficient distribution estimation for data with unobserved sub-population identifiers
 
•    Tuesday, March 25:   Peter Müller, Department of Statistics, University of Texas, Austin
This talk is the first Palmetto Lecture for 2014.
 
•    Friday, March 28:   Peter Müller, Department of Statistics, University of Texas, Austin
This talk is a Palmetto Lecture (joint with SC-ASA Palmetto Symposium) at 2:00 in the Lumpkin Auditorium at the USC Business School (Close-Hipp Building).
Palmetto Lecture 2: Nonparametric Bayesian Inference for Tumor Heterogeneity
 
•    Thursday, April 3:   John Spurrier, Department of Statistics, University of South Carolina
     Life After Retirement: The Wacky Comedy of John Spurrier
 
•    Thursday, April 17:   Edward Ip, Department of Biostatistical Sciences, Wake Forest University
     Analysis of multiple partially ordered responses


Fall 2013


•    Thursday, August 29:   Zhushan "Mandy" Li, Department of Educational Research, Measurement, and Evaluation, Boston College
     A Power Formula for the SIBTEST Procedure for Differential Item Functioning
 
•    Thursday, September 5:   Li Ma, Department of Statistical Science, Duke University
     Multi-resolution adaptive shrinkage in nonparametric inference
 
•    Thursday, September 12:   Colin Gallagher, Department of Mathematical Sciences, Clemson University
     Adaptively Weighted Kernel Regression
 
•    Thursday, September 19:   Debajyoti Sinha, Department of Statistics, Florida State University
     Bayesian Partial Linear Model for Skewed Longitudinal Data
 
•    Thursday, September 26:   Li Cai, Department of Quantitative Psychology and Program for Advanced Quantitative Methodology, University of California-Los Angeles (UCLA)
     Hierarchical Item Factor Models with Alternative Latent Variable Distributional Assumptions
 
•    Thursday, October 3:   David Anderson, Department of Mathematics and Department of Statistics, University of Wisconsin
     Multi-level Monte Carlo and Stochastically Modeled Biochemical Reaction Systems
 
•    Thursday, October 10:   Yanyuan Ma, Department of Statistics, Texas A & M University
     A Semiparametric Approach to Dimension Reduction
 
•    Thursday, October 24:   Ana-Maria Staicu, Department of Statistics, North Carolina State University
     Interaction Models for Functional Regression
 
•    Thursday, November 7:   Tim Hanson, Department of Statistics, University of South Carolina
     Spatial Extended Hazard Model with Application to South Carolina Prostate Cancer Data
 
•    Thursday, November 21:   Andrew Brown, Department of Mathematical Sciences, Clemson University
      Incorporating Spatial Dependence into Bayesian Multiple Testing of Statistical Parametric Maps in Functional Neuroimaging
 
Spring 2013


•    Friday, February 8 (3:30 p.m. in LeConte 210A):   Ying Sun, Department of Statistics, University of Chicago
     Statistically and Computationally Efficient Estimating Equations for Large Spatial Datasets
 
•    Tuesday, February 19:   Andreas Artemiou, Department of Mathematical Sciences, Michigan Technological University
     Sufficient Dimension Reduction through Inverse Regression and Machine Learning
 
•    Thursday, February 28:   Matthias Katzfuss, Institut fur Angewandte Mathematik, University of Heidelberg
     Low-Rank Spatial and Spatio-Temporal Models for Large Datasets
 
•    Thursday, March 7:   Pang Du, Department of Statistics, Virginia Tech
     Two-component Mixture Cure Rate Model with Spline Estimated Nonparametric Components
 
•    Thursday, March 21:   Paramita Chakraborty, Department of Statistics, University of South Carolina
     Stochastic Diffusion Driven by Lévy Processes and its Applications in Hydrology
 
•    Tuesday, March 26:   Francisco J. Samaniego, Department of Statistics, University of California, Davis
     Palmetto Lecture 1: A (Very) Short Course on Comparative Statistical Inference
 
•    Friday, March 29 (2:00 p.m. in Capstone Conference Center):   Francisco J. Samaniego, Department of Statistics, University of California, Davis
This talk is a Palmetto Lecture (joint with SC-ASA Palmetto Symposium) at the Capstone Conference Center.
     Palmetto Lecture 2: Network Reliability: A Fresh Look at Some Basic Questions
 
•    Thursday, April 4:   Min Zhang, Department of Biostatistics, University of Michigan
     Adjusting for observational secondary treatments in estimating the effects of the randomized treatments
 
•    Thursday, April 11:   Bowei Xi, Department of Statistics, Purdue University
     Large Complex Data: Divide and Recombine (D&R) with RHIPE
 
•    Thursday, April 18:   Hakmook Kang, Department of Biostatistics, Vanderbilt University School of Medicine
     Spatio-spectral Mixed-Effects Model for fMRI Data Analysis
 
Fall 2012


•    August 30:   Alexander McLain, Department of Epidemiology and Biostatistics, University of South Carolina
     Prediction of longitudinal binary data with multi-scale informative dropout: a joint modeling approach
 
•    September 6:   Adam Branscum, Department of Biostatistics, Oregon State University
     New Developments in Bayesian Semiparametric Regression
 
•    September 13:   Ling Lan, Department of Biostatistics, Georgia Health Sciences University
     Dose Finding in Phase I Clinical Trials Using Maximum-A-Posteriori Model
 
•    September 20:   Leonard A. Stefanski, Department of Statistics, North Carolina State University
     Measurement Error and Variable Selection in Parametric and Nonparametric Models
 
•    September 27:   Jason P. Fine, Department of Biostatistics, University of North Carolina, Chapel Hill
     Screening for Osteoporosis in Postmenopausal Women: A Case Study in Interval Censored Competing Risks Data
 
•    October 4:   Jane-Ling Wang, Department of Statistics, University of California, Davis
     Modeling Left-truncated and Right Censored Survival data with longitudinal covariates
 
•    October 11:   Ming-Hui Chen, Department of Statistics, University of Connecticut
     Bayesian Analysis of Survival data with Semi-Competing Risks and Treatment Switching
 
•    October 25:   Surya Tokdar, Department of Statistical Science, Duke University
     Simultaneous Linear Quantile Regression: A Semiparametric Bayesian Approach
 
•    November 1:   Carlos Carvalho, McCombs School of Business, University of Texas, Austin
 
•    November 8:   Jimmy de la Torre, Department of Educational Psychology, Rutgers, The State University of New Jersey
     Relative and Absolute Fit Evaluation in Cognitive Diagnosis Modeling
 
•    November 29:   Edsel Peña, Department of Statistics, University of South Carolina
     Model Selection and Inference in Dose-Response Models
 
Spring 2012


•    January 31:   Zsuzsanna Suranyi, Department of Psychology, Karoli Gaspar University, Budapest, Hungary
     Application of model based clustering in revealing and comparing national characters
 
•    February 21:   Xiangrong Yin, Department of Statistics, University of Georgia
     Solution Paths for Large p Small n Problems
 
•    March 1:   Sunil Rao, Department of Biostatistics, University of Miami
     Spike and Slab Regression For High Dimensional Data Analysis : A Review and Some New Directions
 
•    March 8:   Spring Break
 
•    March 15:   Bo Lindqvist, Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway
     On improper priors and conditional sampling
 
•    March 22:   David Dunson, Department of Statistical Science, Duke University, Graduate Student Organized Colloquium
     Bayesian nonparametric learning from high-dimensional data
 
•    April 10:   Ed George, Department of Statistics, University of Pennsylvania
     (Palmetto Lecturer) Fully Bayes Factors with a Generalized g-Prior
 
•    April 12:   Ed George, Department of Statistics, University of Pennsylvania
This talk is a Palmetto Lecture (joint with SC-ASA Palmetto Symposium) at the Capstone Conference center.
     (Palmetto Lecturer) Discovering Regression Structure with a Bayesian Ensemble
 
Fall 2011


•    August 18:   Don Edwards, Department of Statistics, University of South Carolina
     Welcome Colloquium
 
•    August 25:   Alejandro Jara, Department of Statistics, Pontificia Universidad Catolica de Chile
     Bayesian density estimation under probabilistic first moment constraints
 
•    September 8:   Robert Lund, Department of Mathematics, Clemson University
     Changepoints in climatology
 
•    September 15:   Sujit Sahu, School of Mathematics, University of Southhampton, UK
     High Resolution Bayesian Space-Time Modelling for Ozone Concentration Levels
 
•    September 22:   S. Stanley Young, National Institute of Statistical Sciences
     Deming, data and observational studies
 
•    September 29:   Jayaram Sethuraman, Department of Statistics, Florida State University
     Distributions of patterns of occurrences and non-occurrences of a special event
 
•    October 6:   Jonathan Templin, College of Education, University of Georgia
     Diagnostic classification modeling: psychometric issues and statistical challenges
 
•    October 13:   Bo Cai, Department of Biostatistics, University of South Carolina
     Bayesian semiparametric model with spatially-temporally varying coefficients selection
 
•    October 20:   Fall Break
 
•    November 3:   Shuangge Ma, Division of Biostatistics, Yale University
     Integrative Analysis of High-throughput Cancer Prognosis Studies
 
•    November 8:   Vanda Inacio, Faculty of Sciences, Lisbon University, Portugal
     Flexible ROC regression models: a Bayesian nonparametric approach
 
•    November 10:   Wanzhu Tu, Department of Biostatistics, Indiana University
     A Semiparametric Longitudinal Regression Model for Paired Data with Application in Blood Pressure Research
 
•    November 15:   Miguel de Carvalho, EPFL, Switzerland
     A Bayesian P-spline mixture model for nonstationary extremes
 
•    November 17:   Greg Rempala, Biostatistics, Bioinformatics and Computational Biology Laboratory, Georgia Health Sciences University
     Modeling Molecular Kinetics via Next Gen Sequencing
 

•    December 1:   Wesley Johnson, Department of Statistics, University of California, Irvine
     Assessing the Temporal Quality of Diagnostic Biomarkers in the Presence of Variable Biologic Response after Infection: A Case Study for Diagnosing Johne's Disease


Spring 2011


•    January 20:   Christopher Bilder, Department of Statistics, University of Nebraska
     Decoding Positive Groups through Halving
 
•    January 27:   Amita Manatunga, Department of Biostatistics & Bioinformatics, Emory University
     Assessing Agreement between Ordinal and Continuous Measurements
 
•    February 3:   Victor Patrangenaru, Department of Statistics, Florida State University
     Statistical Analysis of Object Data
 
•    February 10:   Arnab Maity, Department of Statistics, North Carolina State University
     Testing for a gene effect in the presence of possible gene-gene interactions, with application to human DNA methylation data
 
•    February 17:   Lan Wang, School of Statistics, University of Minnesota
     GEE Analysis of Clustered Binary Data with Diverging Number of Parameters
 
•    February 24:   Jiajia Zhang, Department of Biostatistics, University of South Carolina
     Accelerated Hazard Model and its Application
 
•    March 3:   Duchwan Ryu, Department of Biostatistics, Georgia Health Sciences University
     Bayesian Nonparametric Regressions with Random Effects of Longitudinal Measurements
 
•    March 10: SPRING BREAK
 
•    March 17:   Michael Hudgens, Department of Biostatistics, University of North Carolina
     Randomization Based Causal Inference of Vaccine Effects
 
•    March 24:   Andrew Wood, School of Mathematical Sciences, University of Nottingham
     Saddlepoint approximations of transition densities for stochastic differential equations
 
•    March 29:   James Ramsay, Department of Psychology, McGill University
     (Palmetto Lecture) Watching Children Grow Taught Me All I Know
 
•    March 31:   James Ramsay, Department of Psychology, McGill University
     (Palmetto Lecture) A Compact Functional Estimate of a Functional Variance-Covariance or Correlation Kernel
 
•    April 7:   Bala Rajaratnam, Department of Statistics, Stanford University
     Inference in Gaussian covariance graph models
 
•    April 8:   41st Annual SCASA Meeting
 
•    April 14:   Joe Gastwirth, Department of Statistics, George Washington University
     Ignoring power and over-reliance on statistical significance: Implications for Dukes v. Wal-mart
 
•    April 21:   Don Edwards, Department of Statistics, University of South Carolina
     Awards Colloquium
 
Fall 2010


•    August 26:   Edsel Pena, Department of Statistics, University of South Carolina
     Statistical Multiple Decision Making
 
•    September 2:   Christine Franklin, Department of Statistics, University of Georgia
     Preparing Teachers for the New Generation of K-16 Students: Letting Go of the Reliance upon the Traditional Introductory Course
 
•    September 9:   Montse Fuentes, Department of Statistics, North Carolina State University
     Nonparametric Spatial Models for Extremes: Application to Extreme Temperature Data
 
•    September 16:   Keith Haynes, Department of Statistics, University of South Carolina
     Computer Vision
 
•    September 23:   Hongmei Zhang, Department of Epidemiology and Biostatistics, University of South Carolina
     Capturing Species at A Certain Abundance in A Population with Unknown Heterogeneity
 
•    September 30:   Ciprian Crainiceaunu, Department of Biostatistics, Johns Hopkins University
     Longitudinal Functional Principal Component Analysis
 
•    October 7:   Xiaofeng Liu, Department of Educational Psychology, Research & Foundations, University of South Carolina
     The Effect of a Covariate on Standard Error and Confidence Interval Width
 
•    October 28:   Howard Bondell, Department of Statistics, North Carolina State University
     Efficient Robust Estimation via Two-Stage Generalized Empirical Likelihood
 
•    November 4:   Michael Woodroofe, Department of Statistics, University of Michigan
     Bootstrapping the Grenander Estimator
 
•    November 18:   Xuming He, Department of Statistics, University of Illinois
     On Dimensionality of Mean Structure from a Single Data Matrix
 
Spring 2010


•    January 26:   Robertas Gabrys, Department of Mathematics and Statistics, Utah State University
     Detecting Change-Point in the Mean Function of Functional Observations
 
•    January 28:   Adam J. Rothman, Department of Statistics, University of Michigan
     Sparse Estimation of High-Dimensional Covariance Matrices
 
•    February 2:   Xiaoyan (Iris)Lin, University of South Carolina, Department of Statistics
      A Semiparametric Probit Model for Interval-Censored Failure Time Data
 
•    February 4:   Veronica Berrocal, Duke University, Department of Statistical Sciences, and SAMSI
      Downscaling Outputs from Numerical Models
 
•    February 9:   Yang Feng, Operations Research and Financial Engineering, Princeton University
      Nonparametric Independence Screening in Sparse Ultra-high Dimensional Additive Models
 
•    February 11:  Sungkyu Jung, Department of Statistics and Operations Research, University of North Carolina at Chapel Hill
      Statistical Analysis of Data on Curved Manifolds
 
•    February 16:  Michele Guindani, Department of Mathematics and Statistics, University of New Mexico
      A Bayesian Discovery Procedure
 
•    February 18:  Josue Martinez, Department of Statistics, Texas A&M University
      Use of Multiple Singular Value Decompositions to Analyze Complex Calcium Ion Signals
 
•    February 23:   Hao Wang, Department of Statistical Science, Duke Univeristy
      Bayesian Multivariate Modelling: Graphical Models and Time Series
 
•    February 25:   Tim Hanson, Department of Biostatistics, University of Minnesota
      Two Applications of Mixtures of Polya Trees
 
•    March 2:  Minjung Kyung, Department of Statistics, University of Florida
      Estimation in Dirichlet Random Effects Models
 
•    March 4:  Min Yang, Department of Statistics, University of Missouri
      On the de la Garza Phenomenon
 
•    Wednesday, March 10:  Anand N. Vidashankar, Department of Statistics, George Mason University
      Efficiency, Robustness, and Regularization using Hellinger Distance
 
•    Wednesday, March 16:  Odd O. Aalen, Department of Biostatistics, University of Oslo, Norway
      Causality, Time, and Statistics
 
•    Wednesday, March 18:  Odd O. Aalen, Department of Biostatistics, University of Oslo, Norway
      What Hides Behind the Data?
 
•    April 1:  J.S. Marron, Department of Statistics and Operations Research, University of North Carolina at Chapel Hill
      Object Oriented Data Analysis
 
•    April 8:   Dennis K.J. Lin, Department of Statistics, Penn State University
     BIG Statistics


Fall 2009


•    August 27:   Dan Nettleton, Department of Statistics, Iowa State University
     Testing for the Supremacy of a Multinomial Cell Probability
 
•    September 3:   Jane L. Harvill, Department of Statistical Science, Baylor University
     Spectral Analysis of Time Series and Its Use in Testing Time Series Linearity
 
•    September 10:   Svetlana V. Shinkareva, Department of Psychology, University of South Carolina
     Decoding Word Meaning from fMRI Data
 
•    September 17:   Jeffery Morris, Department of Biostatistics, MD Anderson Cancer Center
     Automated Methods for Complex Image Data: Adaptive Bayesian Image Mixed Models
 
•    September 24:   Dan Hall, Department of Statistics, The University of Georgia
     Robust Estimation for Zero-Inflated Poisson Regression
 
•    October 1:   Clarice R. Weinberg, Biostatistics Branch, The National Institute of Environmental Health Sciences
     Using Nuclear Families to Study Haplotype-by-Environment Interaction
 
•    October 15:   Nancy Chalmers, Christopher McMahan, Wensong Wu, Department of Statistics, University of South Carolina
     Grad Student Trio
 
•    Friday, October 23:   Stephen Looney, Deparatment of Biostatistics, Medical College of Georgia
     Sample Size Determination for Correlation Coefficient Inference
 
•    October 29:   Xiao-Li Meng, Department of Statistics, Harvard University
     A General Recipe for Semiparametric and Nonparametric Estimation with Incomplete and Irregularly Spaced Data
 
•    November 5:   Wei Biao Wu, Department of Statistics, University of Chicago
     Simultaneous Inference of Time-Varying Linear Models
 
•    November 12:   Brian J. Reich, Department of Statistics, North Carolina State University
     Bayesian Spatial Quantile Regression
 
•    November 19:   Xianzheng Huang, Department of Statistics, University of South Carolina
     Specification Tests Via Coarsened Data
 
Spring 2009

•    April 16:   Irina Czogiel , Department of Mathematicss and Statistics , University of Nottingham
     Bayesian Alignment of Unlabelled Marked Point Sets (Molecular Shape Analysis)
 
•    April 2:   Thomas Jaki , Department of Mathematicss and Statistics , Lancaster University
     Direct Effects Testing: A Two-Stage method for stepwise Testing for Effect Size and Variable Importance for Correlated 2x2 Tables
 
•    Tuesday, March 31:   Paul Fearnhead , Department of Mathematicss and Statistics , Lancaster University
     Selecting and seeding teams for the NCAA men's basketball competition
 
•    March 26:   Brian W. Junker , Department of Statistics , Carnegie Mellon University
      The Role of Nonparametric Analysis in Assessment Modeling: Then and Now
 
•    March 5:   Don Edwards , Department of Statistics , University of South Carolina
      Models and Measures of Inter-Rater Agreement
 
•    February 26:   Ian Dryden , Department of Statistics , University of South Carolina
      Mixed Effect Modeling of Proteomic Mass-Spectrometry Data
 
•    January 29:   Shuang Li , Department of Statistics , University of South Carolina
      A Gibbs Measure/Markov Random Field Representation for Complex Load-Sharing Systems
 
•    January 22:   Robert Taylor , Department of Mathematical Sciences , Clemson University
      100,000 AP Statistics Exams in 2008 and More on the Way
 
Fall 2008

•    August 28:   Joshua Habiger , Department of Statistics , University of South Carolina
      Modern Multiple Hypotheses Testing
 
•    September 4:   Peng Cheng, Department of Statistics, University of South Carolina
     Maximum Likelihood Method to Analyze Assay Data with Quantification Limit in Clinical Trials
 
•    September 11:   Leslie Hendrix, Department of Statistics , University of South Carolina
     Assessing Model Fit in IRT using PPMC Methodology without MCMC
 
•    October 2:   JiaJia Zhang, Department of Epidemiology and Biostatistics, University of South Carolina
     Mixture Cure Frailty Model
 
•    October 16:   Yehua Li, Department of Statistics, University of Geotgia
     Deciding the Dimension of the Effective Dimension Reduction Space for Functional Data
 
•    October 23:   Xiaoyan (Iris)Lin , Department of Statistics, University of South Carolina
      Bayesian Hierarchical Models for the Recognition-Memory Experiment
 
•    October 30:   Huxia Judy Wang, Department of Statistics, North Carolina State University
      Locally Weighted Censored Quantile Regression
 
•    November 6:Sharon Yeatts, Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina
      The Role of an Academic Statistician in Clinical Trials
 
•    November 13: Robert E. Ployhart, Moore School of Business,University of South Carolina
     The Space Between What's Wrong and Right: Multilevel and Longitudinal Modeling in Management and Applied Psychology


Fall 2007

•    March 20:   Mike Daniels , Department of Statistics and Department of Epidemiology and Biostatistics, University of Florida
     Joint Models for the Association of Longitudinal Binary and Continuous Processes with Application to a Smoking Cessation Trial
This Seminar is Jointly Sponsored with the Department of Epidemiology and Biostatistics
 
•    December 6:   Bo Cai, Epidemiology and Biostatistics, University of South Carolina
     Bayesian Semiparametric Modeling using Mixtures for Stratified Survival Data
This Seminar is Jointly Sponsored with the Department of Epidemiology and Biostatistics
 
•    November 29:   Franciso Vera, Department of Mathematical Sciences, Clemson University
      Acceleration of the EM Algorithm in Mixture Models
This seminar will take place in LeConte College, Room 210A
 
•    November 15:   Mahlet G. Tadesse, Department of Mathematics, Georgetown University
     Unified Bayesian Methods for Variable Selection and Clustering
This Seminar is Jointly Sponsored with the Department of Epidemiology and Biostatistics
 
•    November 8:  Robert Henson, Department of Educational Research Methodology, The University of North Carolina at Greensboro
     Markov Chain Monte Carlo Estimation for a Family of Cognitive Diagnosis Models
 
•    November 1:  Leonard A. Stefanski, Department of Statistics, North Carolina State University
    Contributions to the Practice and Teaching of Regression and Variable Selection
 
•    October 25:   Lee Van Horn , Department of Psychology, University of South Carolina
     Moderation Without a Moderator: Assessing Regression Mixture Models
 
•    Wednesday, October 17:   David B. Dunson Biostatistics Branch, National Institute of Environmental Health Sciences
      Nonparametric Bayes Methods for Flexible Regression with Epidemiologic Applications
This Seminar is Jointly Sponsored with the Department of Epidemiology and Biostatistics
 
•    September 6:   Don Edwards Department of Statistics, University of South Carolina
      Exact, Flexible Sequential Acceptance Sampling for Attributes, With Applications to Medicare Fraud Investigations

Spring 2007


•    January 18:   Grzegorz Rempala Department of Mathematics, University of Louisville, Kentucky
      Estimating Reaction Contents in Stochastic Intracellular Networks
•    January 25:   J.P. Morgan,Department of Statistics, Virginia Tech,
      Robustness Considerations for Block Designs
This talk will be held in LeConte College, Rm. 210A
•    February 1:   Wenxuan Zhong, Department of Statistics, Harvard University
      Variable selection using single index models for motif discovery
•    Tuesday, February 6:   Wei Sun, Department of Statistics, University of California
    Detection of eQTL Modules Mediated by Activity Levels of Transcription Factors
•    February 8: Jinfeng Zhang Department of Statistics, Harvard University
     Development of Monte Carlo Methods for Characterizing the Sequence and Structure Relationship of Proteins
•    March 8:   Kerrie Nelson, Department of Statistics, University of South Carolina
     Cure Fractions and Bones
•    March 29:   Cliff Spiegelman, Department of Statistics, Texas A & M University
      Data Integrity and the Scientific Method: The Case of Bullet Lead Data as Forensic Evidence and the JFK Assassination


SPRING 2006


•    January 12:  Kevin Ross, Department of Statistics and Operations Research, University of North Carolina - Chapel Hill,
     Convergent Numerical Schemes for Singular Control Problems with State Constraints
•    January 19: Bo Kai , National Institute of Environmental Health Sciences,
     Bayesian Model Selection for Longitudinal and Clustered Data
•    January 24: Adrian Dobra, Duke University
     High-dimensional structural learning with mixed variables
•    January 31:  Jaehwa Choi, Department of Measurement, Statistics and Evaluation, University of Maryland - College Park
     Latent Growth Modeling for Logistic Response Functions
•    February 2: Andrei Adin-Cristian, Department of Biostatistics, University of Michigan
      Quality-of-Life adjusted analyses of successive events
•    February 9:  Xianzheng (Shan) Huang, Department of Statistics, North Carolinia State University
      Latent Model Robustness in Structural Measurement Error Models
•    February 16:  Jason Loeppky, Department of Statistics, University of British Columbia
      Practical Issues in Computer Model Calibration
•    February 21:   Jeesun Jung, University of Pittsburgh,
      Combined Linkage and Association Mapping of Quantitative Trait Loci
•    February 23:   Bala Rajaratnam, Department of Statistical Science, Cornell University
      Asymptotically Equivalent Models for Markov Chains
•    March 16: Tianwei Yu, School of Dentistry, UCLA
      Analysis of the yeast transcriptional regulatory network
•    March 23: Shyamal Peddada, Biostatistics Branch, National Institute of Environmental Health Sciences (NIEHS),
      Order Restricted Inference for Ordered Gene ExpressioN (ORIOGEN)
•    April 20: Jerry Reiter, Duke University
     The Multiple Applications of Multiple Imputation


FALL 2005


•    August 25:  Brian Habing , Department of Statistics, University of South Carolina,
     40 Hours, 334 Graders, and 76,000 Exams
•    September 1: Joshua Tebbs , Department of Statistics, University of South Carolina,
     Monitoring clinical trials
•    September 8:  David Hitchcock Department of Statistics, University of South Carolina
     An Introduction to Functional Data Analysis
•    September 15:  Edsel Pena Department of Statistics, University of South Carolina
     Estimation of an Event-Time Distribution
•    September 22:   Shingo Goto, Banking, Finance and Real Estate Department, Moore School of Business, University of South Carolina
      The Application of Time Series Analysis in Finance
•    September 29:  John Spurrier Department of Statistics, University of South Carolina
      Comparing Two Regression Lines Over a Fixed Interval
•    October 20:   James P. Hobert, Department of Statistics, University of Florida,
      Markov Chain Conditions for Admissibility
•    Friday, October 28:   Daowen Zhang, Department of Statistics, North Carolina State University
      Omnibus Tests for Proportional Hazards Models
NOTE: This colloquium talk is scheduled for Friday at 2:30pm in Rm. 412. Refreshments will be served at 3:30 in the Wyman Williams Room.
•    November 3:   Paul Schliekelman Department of Statistics, University of Georgia,
      Power of Expression QTLs for Mapping of Complex Trait Loci
•    Friday, November 4:   Chris Bilder, Department of Statistics, University of Nebraska- Lincoln
      Modeling Association between Two or More Categorical Variables that Allow for Multiple Category Choices
NOTE: This colloquium talk is scheduled for Friday at 2:30pm in Rm. 412. Refreshments will be served at 3:30 in LeConte 213.
•    November 10: Maribeth Johnson, Department of Biostatistics, Medical College of Georgia
      Analysis of Longitudinal Data: Comparison between PROC GLM and PROC MIXED
•    November 17: Lance A. Waller, Emory University,Rollins School of Public Health, Department of Biostatistics
      A Spatial Analysis of Epidermal Nerve Fibers


SPRING 2005


•    January 27:  Arka Ghosh , Department of Statistics, University of North Carolina, Chapel Hill
     Optimal Controls for Stochastic Networks in Heavy Traffic
•    February 3:  Joshua M. Tebbs, Department of Statistics, Kansas State University
     Pooled Testing with Covariates
•    February 10:  Ryan Elmore, Mathematical Sciences Institute The Australian National University
      A Fully Nonparametric Test for One-Way Layouts
•    February 17:  Ery Arias-Castro,Mathematical Sciences Research Institute,, Berkeley,CA.
      Detection in Point Cloud: A Statistical Viewpoint with Multiscale Insight
•    February 24:   Sounak Chakraborty,Department of Statistics, University of Florida
      Multiclass Cancer Diagnosis using Bayesian Kernel Machine Models
•    FRIDAY, March 25:  Joseph Ibrahim, Department of Biostatistics, University of North Carolina at Chapel Hill
     A Class of Bayesian Box-Cox Transformation Hazard Regression Models
•    March 31:    Lijian Yang, Statistics and Probabilty Michigan State University      Spline Confidence Band and Hypothesis Testing of Leaf Area Index Trend in East Africa
•    April 8:   Joseph L. Gastwirth, Department of Statistics and Economics, The George Washington University
    Statistical Issues in the Use and Interpretation of Epidemiological Evidence in Product Liability Cases


FALL 2004


•    August 26:  John Grego, Department of Statistics, University of South Carolina
     Afternoons with Wilma; A Calibration Story
•    September 9:  Edsel A. Pena, Department of Statistics, University of South Carolina
     Global Validation of Linear Model Assumptions
•    September 16:  Ralph L. Kodell, National Center for Toxicological Research U.S. Food and Drug Administration, Department of Biometry, Jefferson, Arkansas
      Using P-Value Plots and ROC Curves to Assess Statistical Significance of Microarray Data on Gene Expression
•    September 23:  Brent McHenry,Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina
      A Novel Approach of Estimation for Additive Rate Regression Models with Parametric Underlying Failure Time Distributions
•    September 30:   Stuart Lipsitz,Department of Biostatistics, Bioinformatics and Epidemiology Medical University of South Carolina
      Confidence Intervals for Population Attributable Risk from Complex Surveys
•    October 7:  L.J. Wei,Department of Biostatistics, Harvard University
      Statistical Inferences by Perturbing Estimating Function or Minimand
•    October 21:  Vanja M. Dukic Department of Health Studies The University of Chicago
     A Bayesian SEIR Approach to Modeling Smallpox Epidemics
•    October 28:   Robert H. Lyles, Department of Biostatistics, Emory University
     Improving Point Predictions of Random Effects for Subjects at High Risk
•    Friday, November 12:   : (Please note: The talk will start at 3:30pm instead of 2:30)
    W.J. Padgett, Distinguished Professor Emeritus Department of Statistics, University of South Carolina, and Visiting Professor, Mathematical Sciences, Clemson University
     Bayes Bandwidth Selection in Kernel Density Estimation with Censored Data
•    November 18:  Joseph Ibrahim, Department of Biostatistics, University of North Carolina at Chapel Hill
     A Class of Bayesian Box-Cox Transformation Hazard Regression Models


SPRING 2004


•    January 15: Monir Hossain, Arnold School of Public Health, Department of Epidemiology and Biostatistics University of South Carolina
     Hierarchical Generalised Linear Models with Time-dependent Clustering: Assessing the Effect of Health Sector Reform on Patient Outcomes in New Zealand
•    January 22: Robert Lund, Department of Statistics, University of Georgia.
      Shape-Based Convergence Rates of Markov Chains
•    January 29: Damla Sentürk, Department of Statistics University of California, Davis,
      Covariate Adjusted Regression
•    February 5: David B. Hitchcock, Department of Statistics, University of Flordia
      Smoothing Functional Data for Cluster Analysis
•    February 26: Dobrin Marchev, Department of Statistics, University of Florida
     Monte Carlo Methods for Posterior Distributions Associated with Multivariate Student's t Data
•    March 4: Amita K. Manatunga , Rollins School of Public Health, Department of Biostatistics, Emory University
      Modeling the Relationship Between Two Correlated Survival Outcomes
•    March 18: Melinda H. McCann, Department of Statistics, Oklahoma State University
      Simultaneous Inference for Prevalence Using Pooled Assessments
•    March 25: Michael Daniels, Department of Statistics, University of Florida
      Conditionally Specified Space-Time Models for Multivariate Processes
•    April 8:Jianwen Cai , Department of Biostatistics,University of North Carolina at Chapel Hill
      Marginal Hazard Models with Varying-coefficients for Multivariate Failure Time Data
•    Friday, April 16: Annual SCASA Meeting
•    April 22: James Lynch, Department of Statistics, University of South Carolina
      "Recognition Colloquium"


FALL 2003


•    August 21: Dr. James Lynch, Moderator, Department of Statistics, University of South Carolina.
      "Getting to Know Each Other:
•    September 4: Kerrie Nelson, Department of Statistics, University of South Carolina
      "Comparison of Iterative Bias Correction with Other Methods for Estimation in Generalized Linear Mixed Models"
•    September 18: James W. Hardin, Center for Health Services and Policy Research, Department of Epidemiology and Biostatistics,University of South Carolina
      The Sandwich Variance Estimator
•    September 25: Dongchu Sun, Department of Statistics, University of Missouri
      Estimating the Precision and Covariance Matrices in a Star-shaped Model
•    October 2: Cary Tuckfield Savannah River Technology Center
      Statistical Thinking for Ecologists and Other Dyed-in-the-Wool Frequentists
•    October 30: Charity G. Moore,Department of Epidemiology and Biostatistics, University of South Carolina
      Statistical applications at the SC Rural Health Research Center
•    November 6: Brian Habing, Department of Statistics, University of South Carolina
      Nonparametric IRT-Based Scale Construction
•    November 20: Nancy Glenn, Department of Statistics, University of South Carolina
     Robust Bayesian Empirical Likelihood


SPRING 2003


•    February 6: Dr. W.J. Padgett, and Meredith Tomlinson, Department of Statistics, University of South Carolina.
      "Inference for Accelerated Test Models Based on Gaussian Degradation Processes"
Due to inclement weather this has been rescheduled from January 23
•    February 27: Vijayan N. Nair Department of Statistics, University of Michigan
 :     "Active Network Tomography and Bicast Probing Experiments"
•    March 6: Don Edwards Department of Statistics, University of South Carolina
     "The Minimum Sum Method and other Distribution-Free Procedures for Audited Payment Populations".
•    March 20: Robert F. Woolson Medical University of South Carolina, Biometry & Epidemiology
      "A Statistician's Perspective on Directing a Coordinating Center for an Acute Ischemic Stroke Trial"
•    April 24: James Lynch Department of Statistics, University of South Carolina
      "Recognition Colloquium"


Fall 2002


•    August 22: Dr. James Lynch, Moderator, Department of Statistics, University of South Carolina.
      "Getting to Know Each Other"
•    September 12: Dr. Andrew B. Lawson, University of South Carolina,Department of Epidemiology and Biostatistics
      Spatial Mixture Relative Risk Models Applied to Disease Mapping
•    September 19: Peter Waddell, University of South Carolina, Department of Biology and the Department of Statistics
     Statistical Issues in Phylogenetics And Resolving the Inter-Ordinal Relationships of Placental Mammals
•    October 3: Edsel Peña, University of South Carolina, Department of Statistics.
      Estimation after Model Selection: A Case Study of a Gaussian Model
•    October 17: Melanie Siewart and Jeri Boysia, Blue Cross/Blue Shield,
      Career Opportunities for Actuaries. This talk will be held in the BA Building, Room 450 at 7:00 pm.
•    October 24: R. Webster West University of South Carolina Department of Statistics
     An Introduction to WebStat 3.0
•    October 31: Machelle Wilson, Savannah River Ecology Laboratory
      Support Vector Classification of Hyper-Spectral Data on Plants Exposed to Metal Toxicity
•    November 7: Jaxk Reeves, University of Georgia, Department of Statistics
     Sporulation Data Revisited
•    November 14; James O. Berger, Institute of Statistics and Decision Sciences, Duke University
      Statistical Validation of Computer Models
•    November 21: John Spurrier, University of South Carolina, Department of Statistics
      Multiple Comparison of Regression Lines: Pairwise Comparisons and Comparisons with a Control


Spring 2002


•    January 14: Colloquium will be from 3:15-4:15 in LC 412, with refreshments at 4:15 at LC Rm 213
Dr. Eric Chicken, Department of Statistics, Purdue University, IN
        Title: Density Estimation Using Block Thresholding (Abstract)
 
•    January 18: Colloquium will be from 3:30-4:30 in LC 210A, with refreshments at 3:00 at LC Rm 213
Kerrie Nelson, Department of Statistics, University of Washington, WA
        Title: Estimation in Generalized Linear Mixed Models: Comparison of Maximum Likelihood with Iterative Bias Correction (Abstract)
 
 
•    January 25: Dr. Robert Delongchamp, National Center for Toxicological Research,
        Title: Statistical issues in normalizing gene expression data form cDNA arrays (Abstract)
 
•    February 1: Colloquium will be from 3:30-4:30 in LC 210A, with refreshments at 3:00 at LC Rm 213 Dr. Zhengjun Zhang , Department of Statistics, University of North Carolina, Chapel Hill, NC
        Title: Multivariate Extremes, Max-Stable Process Estimation and Dynamic Financial Modeling (Abstract)
 
•    February 8: Dr. Robert Taylor, Department of Statistics, University of Georgia, Athens, GA
        Title: Consistency and Validity of Dependent Bootstrap Estimators (Abstract)
 
•    March 1: (This talk is joint with the Department of Epidemiology and Biostatistics)
Dr. Ram Tiwari, National Cancer Institute/National Institutes of Health, Bethesda, Maryland.
Title: NIH Funding Mechanism and Funding Opportunities in Statistics
 
•    March 22: Dr. Roger Berger, Department of Statistics, North Carolina State University, Raleigh, NC.
Title: The Exact Size of the Chi Squared Test for Comparing Two Binomial Proportions (Abstract)
 
•    March 29: Dr. Elizabeth Slate, Department of Biometry and Epidemiology, Medical University of South Carolina, Charleston, SC
Title: Detecting Changes in Trend Data (Abstract)
 
•    April 5: Dr. R. Webster West, Department of Statistics, University of South Carolina, Columbia, SC.
Title: Changepoint Alternatives to the NOAEL (Abstract)
 
•    April 12: Dr. Fred Hulting, General Mills Corporation, Minneapolis, Minnesota. [Talk partially supported by the Section of Physical and Engineering Sciences (SPES) of the American Statistical Association.]
Title: Statistics in New Product Development (Abstract)
 
•    April 19: "Recognition Colloquium" with Dr. James Lynch, Chair, Moderating.


Fall 2001


•    September 7: Lori Thombs, Department of Statistics, University of South Carolina,
      The Intelligent Design Movement: Sound Scienc or Creationism Cloaked in a Cheap Toxedo?
•    September 14: Gauri Sankar Datta, University of Georgia, Department of Statistics,
      "Comparison of a class of adjustments to the profile likelihood with application to inference for ratios of regression coefficients"
•    September 21: Todays Colloquia will be from 2:30 - 3:30 with refreshments at 3:30
David Bickel, Medical College of Georgia, "Biostatistics and Bioinformatics",
     "Analylsis of Microarray Gene Expression Data"
•    September 28: Brian Habing, Department of Statistics, University of South Carolina,
     "Recent Refinements to the DIMTEST Procedure"
•    October 5: Somnath Datta, University of Georgia, Department of Statistics,
      "Weighted Estimation in Survival Analysis with Applications to Genetics"
•    October 26: James Hardin Department of Statistics, Texas A & M University,
      Connected Applets and Streaming Video in Distance Education
•    November 2: William Rosenberger, University of Maryland, Baltimore County,
Department of Mathematics and Statistics, "Urn Models with Applications in Adaptive Designs"
•    November 9: John Grego, Department of Statistics,University of South Carolina
     :Congaree River Hydrology and Hydraulics
•    November 16: James Young, College of Charleston, Department of Mathematics,
       "Random Matrices, Quantum Chaos, and Zeros of the Riemann Zeta Function"


Spring 2001


•    January 8: Chang Wook Kang, visiting the Department of Statistics, Univeristy of South Carolina.
      Development of SPC software for Industrial People.
•    January 25: William Jacoby, University of South Carolina,Government and International Studies
      Campaign Effects on Public Opinion: Environmental Evolution, Attitude Change, and Candidate Preferences
•    February 1: Venkataraman Lakshmi, University of South Carolina, Department of Geology
    Land Surface Hydrology and Remote Sensing: A Statistical Perspective
•    February 15: John Spurrier, University of South Carolina, Department of Statistics
      Confidence Regions for Fractional Improvement
•    Wednesday, February 21: Oscar Gaggiotii, Cambridge University, Department of Zoology
     Novel Statistical Methods to Investigate Metapopulation Genetics Models
•    Feburary, 22 Robert Lordo, Battelle, Columbus, Ohio
    Statistical Approach to Estimating the Effects of Environmental-Lead Exposure On Children's Blood-Lead Concentration
•    March 9: Patches Johnson University of Florida Department of Statistics
     Non-Linear Path Models with Continuous and Discrete Variables
•    March 20: Peter J. Waddell, Chugai Research Institute for Molecular Medicine Chugai Pharmaceutical Company, Japan.
     Genetic Pathways from MicroArray Data using Clustering Graphical Models and Correspondence Analysis
•    March, 22: Wei Liu University of Central Florida, Department of Statistics,
      Multiple Comparison For Successive Means
•    April 5: Mei-Cheng Wang John Hopkins University, Department of Biostatistics,
   Univariate and Bivariate Recurrence Time Data: Tricky Data and a Few Solutions
•    April 12: Daniel Meyer, Pfizer
    Experimental Design for Drug Discovery
•    April 27:Columbia SCASA Meeting with Keynote speakers:
Michael Schell, University of North Carolina, Comprehensive Cancer Center.
     Identifying Baseball's Best Hitters For Average
Richard Scheaffer, University of Florida,Department of Statistics


Fall 2000


•    Thursday, December 7: Lynne Seymour, University of Georgia, Department of Statistics,
   Image Models and Social Networks"
•    Thursday, November 30: Biao Zhang, University of Toledo, Department of Mathematics,
   "Fitting and Testing Proportional Odds Models Based on Case-control Data"
•    Thursday, November 9: Webster West, University of South Carolina, Department of Statistics
   "Online Statistics Courseware Using WebStat"
•    Friday, November 3: Zongwu Cai, University of North Carolina at Charlotte, Department of Mathematics.
   "Estimation under Dependence" Colloquia will begin at 3:30 with refreshments at 3:00.
•    October 26: K.B. Kulasekera, Clemson University,Department of Mathematical Sciences
   "Variable Selection in Nonparametric Regression" Colloquium will be held in Room LC 412
•    October 12: Walter W. Piegorsch, Univeristy of South Carolina, Department of Statistics.
     "Extended logistic regression via the Heckman-Willis model, or "When is a trend a trend"?"
•    October 5: Oclay Akman, Coastal Carolina University, Department of Mathematics and Statistics.
     "Statistical Inference Based on Weighted Models"
•    September 28: Huynh Huynh University of South Carolina, Department of Educational Psychology.
     "Item-Response Theory: Some Applications"
•    September 21: Don Edwards, Carl Miller, Megan Meece, University of South Carolina, Department of Statistics.
    "Cyclicity in Water Quality Indicators at National Estuarine Research Reserve (NERR) Sites"
•    September 14: Colloquium talk will be moved to Room 412
Karam Singh, University of Alabama at Birmingham, School of Public Health.
•    September 7: Robert Lund University of South Carolina Department of Statistics.
    "Periodic Time Series and United States Temperature Trends"
•    August 31: Edsel Peña, University of South Carolina, Department of Statistics.
    "Goodness-of-Fit Tests with Right Censored Data"


Spring 2000


•    January 20: George Roussas , University of California, Davis. "Asymptotic Behavior and Exponential Approximation of the Likelihood Function".
•    Friday, January 28: Edsel A.Peña, Department of Mathematics and Statistics at Bowling Green State University "Estimation with Recurrent Data Accruing from a Sum-Quota Sampling Scheme"(requires acrobat 4.0) Please note day and time change: Friday at 3:30 instead of Thursday at 4:00. Refreshments will be served at 3:00.
•    February 4: Partha Lahiri, Department of Mathematics and Statistics, University of Nebraska-Lincoln. "Jackknifing the Mean Squared Error of An Empirical Best Small-Area Predictor" Please note day and time change: Friday at 3:30 instead of Thursday at 4:00. Refreshments will be served at 3:00.
•    February 17: Brian Habing, University of South Carolina, Department of Statistics. "On the Need for Negative Local Item Dependence".
•    February 24: Margaret Nemeth, Monsanto. "Statistical Consulting in an Industrial Agricultural Research Environment".
•    March 16: Deb Sinha Department of Biometry,at Medical University of South Carolina "Bayesian Analysis of Survival Data with a Surviving Fraction".
•    March 23: Walter W. Piegorsch, University of South Carolina, Department of Statistics "Hierarchical Statistical Modeling in Environmental Toxicology"
•    Friday, April 7: Ping Sa, Department of Mathematic and Statistics, University of North Florida. "Testing the Variance of Non-Normal Distributions"


Fall 1999


•  September 2: Jane Harvill , Department of Mathematics and Statistics, Mississippi State University. Multivariate Nonlinear Time Series Modeling
•  September 16: Due to the hurricane this has been rescheduled to September 23. Lori Thombs, Department of Statistics, University of South Carolina. Resampling Techniques for GARCH Modeling
•  October 7: Scott Grimshaw, Department of Statistics, Brigham Young University (currently on sabbatical at First Union Capital Markets Corp. in Charlotte, NC) Regression Trees
•  November 4:Mary Meyer Department of Statistics, University of Georgia. Degrees of Freedom in Shape Restricted Nonparametric Regression.
•  November 11:Brani Vidakovic Institute of Statistics and Information Sciences, Duke University. Wavelet-based Approach to Functional Data Analysis
•  November 18:John Spurrier Department of Statistics, University of South Carolina. Comparing More Than One Treatment to More Than One Control in Incomplete Blocks


Spring 1999


Note: All colloquia will be held at 4:00pm in LeConte 210B unless otherwise noted. Refreshments are served at 3:30pm in LeConte 213.
•    January 14: Huynh Huynh , College of Education, University of South Carolina. "Bayesian Considerations in Some Assessment Situations"
•    February 4: Jian-Jian Ren, Department of Mathematics, Tulane University, New Orleans. "Empirical Likelihood Ratio Confidence Intervals for Mean with Censored Data"
•    February 11: Steve Morgan , Department of Chemistry, University of South Carolina. "Multivariate Calibration and Pattern Recognition: Applications in Forensic Analytical Chemistry."
•    February 25: Honggie Kim, Chon Buk National University, Korea. "An Approximation to the Mean Time to Overflow in Finite Queuing System."
•    March 4:R.Webster West and R. Todd Ogden, Department of Statistics, University of South Carolina. "Computing with WebStat"
•    March 25: Dan Naiman, Johns Hopkins University, Baltimore, Maryland. "Abstract Tubes, Inclusion-Exclusion Inequalities, and Reliability Bounds."
•    April 1: Ted Moore, Finance Department, University of South Carolina. "Stochastic Processes, It's Lemma and Wall Street."
•    April 9: Dale Zimmerman, Department of Statistics and Actuarial Science, University of Iowa."Structured Antedependence Models For Longitudinal Data." Please note: This will be at the Swearingen Engineering Center; he is a guest speaker at the SCASA Chapter Meeting.
•    April 15: Emanuel Parzen, Texas A&M University. "Polymath Data Analysis, Simulation, Goodness Of Fit, and Conditional Quantile Estimation."
•    April 22: Brad Efron, Department of Statistics, Stanford University. "Shakespeare and the Case of the Suspicious Statisticians."He is the 1999 College of Science & Mathematics Lecturer. His presentation will be in PSC Rm. 210 at 3:30pm.


Fall 1998


Note: All colloquia will be held at 4:00pm in LeConte 210B unless otherwise noted. Refreshments are served at 3:30pm in LeConte 213.
•    August 27: Don Edwards , University of South Carolina. "Alternatives to the Paired T-Test for Testing Spatial Change"
•    September 3: David Higdon, Duke University. "Bayesian Modeling for Field Experiments: from Agriculture to Zoology"
•    September 10: W.J. Padgett, University of South Carolina. "Smooth Confidence Bands for the Survival Function from Randomly Right-Censored Data"
•    September 17: Lorenzo Pascual, Visiting at the University of South Carolina. "Bootstrap Predictive Inference for Autoregressive Processes: A Simpler Approach"
•    September 24: Dan Hall, University of Georgia. "Variance Components Testing in Nonlinear and Generalized Linear Mixed Models"
•    October 1: Webster West, University of South Carolina. The Data Image: A Tool for Exploring High Dimensional Data Sets ,
•    October 8: Fred Molz, Clemson University. "Fractal Models for Heterogeneous Property Distributions: Some Mathematical Problems"
•    October 22: Lance Waller, Emory University. "Flexible Neighborhood Definitions in Hierarchical Models for Disease Mapping"
•    November 5: Brian Habing, University of South Carolina. Locally Dependent, Monotone, Unidimensional Item Response Theory.
•    November 19: John Grego, University of South Carolina. Empirical Bayes Models for Process Mean and Variance.
________________________________________