Yuki Shiraito
Faculty Associate
BIO
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.
Yuki Shiraito’s Curriculum Vitae (CV): https://shiraito.github.io/cv.pdf
Find Yuki Shiraito on Bluesky at @ykshrt.bsky.social and on LinkedIn at linkedin.com/in/yuki-shiraito-
- Mitchell Bosley, Kuzushima, Saki, Enamorado, Ted, Yuki Shiraito. 2025. Improving Probabilistic Models In Text Classification Via Active Learning. American Political Science Review 119(2):985-1002.
- Yuki Shiraito, Higashijima, Masaaki. 2025. Tutelary Power and Autocratic Legitimacy: Experimental Evidence from Kazakhstan’s Diarchy. The Journal of Politics
- Yuki Shiraito. 2024. Public preferences for international law compliance: Respecting legal obligations or conforming to common practices?. Rev Int Organ :63–93.
- Yuki Shiraito. 2023. A Nonparametric Bayesian Model for Detecting Differential Item Functioning: An Application to Political Representation in the US. Political Analysis 31(3):430 - 447.
- Yuki Shiraito. 2023. Multiple Hypothesis Testing in Conjoint Analysis. Political Analysis 31(3):380-395.
- Yuki Shiraito, Liu, Guoer. 2023. Multiple Hypothesis Testing in Conjoint Analysis. Political Analysis 31(3):380-395.
- Yuki Shiraito, Lo, James, Santiago, Olivella. 2023. A Nonparametric Bayesian Model for Detecting Differential Item Functioning: An Application to Political Representation in the US. Political Analysis 31(3):430-447.
- Yuki Shiraito, Kuzushima, Saki, McElwain, Kenneth Mori. 2023. Public preferences for international law compliance: Respecting legal obligations or conforming to common practices?. The Review of International Organizations (19):63-93.
- Yuki Shiraito. 2022. Improving Probabilistic Models in Text Classification via Active Learning. American Political Science Review
