DEPARTMENT OF STATISTICS

Department Research

Statistical Methodology

• Statistical Methods for Data Analysis
  • meta-analysis (Hedges)
  • model selection (W. Jiang, H. Jiang, Tanner)
  • multiple comparisons (H. Jiang)

• Bayesian and likelihood inference
  • Bayesian inference in moment-based models (W. Jiang)
  • computational methods for Bayesian inference (Tanner)
  • higher-order asymptotic theory (Severini)
  • inference based on the Gibbs posterior (W. Jiang, Tanner)
  • likelihood inference (Andrews, Severini)

• Nonparametric and semiparametric inference
  • nonparametric likelihood inference (Severini, Wang)
  • mixture-of-experts models (W. Jiang, Tanner)
  • semiparametric regression models (Severini)

• Linear and nonlinear time series analysis
  • GARCH models (Andrews)
  • models for data with infinite variance (Andrews)
  • models for panels of time series (Samia)
  • rank-based estimation (Andrews)
  • threshold models (Samia)

Interdisciplinary Research

• Computational Biology
  • expressed sequence tag (EST) analysis (Wang)
  • metagenomics (H. Jiang)
  • microarray data analysis (H. Jiang)
  • nucleosome sequence alignment (Wang)

• Education, Policy, and Social Science
  • statistics and the law (Spencer, Zabell)
  • design and analysis of cluster-randomized experiments (Hedges)
  • education statistics and program evaluation (Hedges, Spencer)
  • human rights statistics (Spencer)

• Epidemiology, Biology  and Biostatistics
  • statistical ecology (Samia)
  • estimation of species richness (Wang)
  • forensic DNA identification (Zabell)
  • models for infectious diseases (Samia)