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)