Yuki Shiraito works primarily in the field of political methodology. His research interests center on the development and applications of Bayesian statistical models and large-scale computational algorithms for data analysis. He has applied these quantitative methods to political science research.

“Tutelary Power and Autocratic Legitimacy: Experimental Evidence from Kazakhstan’s Tutelage.”
Masaaki Higashijima and Yuki Shiraito
The Journal of Politics (Forthcoming)
DOI: 10.1086/737175

“Improving Probabilistic Models in Text Classification via Active Learning”
Mitchell Bosley, Saki Kuzushima, Ted Enamorado, and Yuki Shiraito
American Political Science Review 119(2):985-1002 (May 2025)
DOI: 10.1017/S0003055424000716

“Public Preferences for International Law Compliance: Respecting Legal Obligations or Conforming to Common Practices?”
Saki Kuzushima, Kenneth Mori McElwain, and Yuki Shiraito
The Review of International Organizations 19(1): 63-93 (January 2024)
DOI: 10.1007/s11558-023-09487-3

“A Non-parametric Bayesian Model for Detecting Differential Item Functioning: An Application to Political Representation in the US”
Yuki Shiraito, James Lo, and Santiago Olivella
Political Analysis 31(3): 430-447 (July 2023)
DOI: 10.1017/pan.2023.1

“Multiple Hypothesis Testing in Conjoint Analysis”
Guoer Liu and Yuki Shiraito
Political Analysis 31(3): 380-395 (July 2023)
DOI: 10.1017/pan.2022.30