Princeton University

Specialization: Quantitative methodology

Imai's general research interest is applied Bayesian statistics with particular emphasis on applications to political science. His current research topics include causal inferences with experimental and observational data, ecological inference problems, and statistical analysis of multiparty elections. His publications include "Causal Inference with General Treatment Regimes: Generalizing the Propensity Score" (2004 with D. A. van Dyk) in the Journal of the American Statistical Association, "A Bayesian Analysis of the Multinomial Probit Model Using Marginal Data Augmentation" (2005; with D. A. van Dyk) in the Journal of Econometrics, and "Do Get-Out-The-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field Experiments" (forthcoming) in the American Political Science Review.

Ph.D., Political Science, Harvard University (2003); A.M., Statistics, Harvard University (2002)

Link to: Personal Web site