Spring 2011

Note: All colloquia will be held at 2:00pm in LeConte College, Room 210A unless otherwise noted. Refreshments will be served at 3:00pm in LeConte 213.

• 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
  

   
  
  

   
  
  Note: We also hold informal research seminars on Tuesdays.