Skip Navigation

Virtual Issue: Bayesian Methods in Political Science

Bayesian Methods in Political Science

Bayesian Methods in Political Science: Introduction to the Virtual Issue
Jeff Gill

Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999
Andrew D. Martin and Kevin M. Quinn
Political Analysis (2002) 10(2): 134-153 Full Text

Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses
Kevin M. Quinn
Political Analysis (2004) 12(4): 338-353 Full Text

Advances in Bayesian Time Series Modeling and the Study of Politics: Theory Testing, Forecasting, and Policy Analysis
Patrick T. Brandt and John R. Freeman
Political Analysis (2006) 14(1): 1-36 Full Text

Bayesian Approaches for Limited Dependent Variable Change Point Problems
Arthur Spirling
Political Analysis (2007) 15(4): 387-405 Full Text

A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases
Justin Grimmer
Political Analysis (2010) 18(1): 1-35 Full Text

Modeling Heterogeneity and Serial Correlation in Binary Time-Series Cross-sectional Data: A Bayesian Multilevel Model with AR(p) Errors
Xun Pang
Political Analysis (2010) 18(4): 470-498 Full Text

More Virtual Issues from Political Analysis

Click here to view other virtual issues from the journal.

Impact Factor: 4.655

5-Yr impact factor: 4.659


R. Michael Alvarez and Jonathan N. Katz

For Authors

Oxford Open

Looking for your next opportunity?

Looking for jobs...