Yuki Shiraito
Assistant Professor of Political Science, College of Literature, Science, and the Arts
- Email Yuki Shiraito
- (734)615-5165
- Google Scholar Profile
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-1725591a3.
- 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. 2022. Improving Probabilistic Models in Text Classification via Active Learning. American Political Science Review