Department of Politics at Princeton University

Yuki Shiraito's work is centered on the development and application of parametric and nonparametric Bayesian methods. His recent paper proposes a nonparametric Bayesian approach to estimating heterogeneous treatment effects. He is also working on the development of a joint text-citation model of legal rulings and a topic model of legislative bills containing texts copied from other bills, in order to elucidate the diffusion of precedents and policy ideas in different settings. His other work uses a Bayesian item response theory model to measure support for Taliban in Afghanistan. He has co-taught the Politics Math Camp twice and has served as a preceptor for two graduate courses, Quantitative Analysis III and Formal Political Analysis I, as well as undergraduate courses.  His website is: www.princeton.edu/~shiraito/