My research interests fall into the broad category of development of models and inferential methods for analyzing complex multivariate data. I have a long standing interest in problems that involve Bayesian analysis of multivariate discrete data, including modeling and computational issues, and applications to social science, public policy and human rights. Some of my specific areas of interest include: Latent structure models, Mixed membership models, Bayesian non parametric models, truncated contingency tables, missing data formulations, MCMC algorithms for Bayesian posterior inference, and multiple-recapture methods.
Research Areas: Data Science
