Practical issues in implementing and understanding Bayesian ideal point estimation

Political Analysis

Volumn 13, Issue 2, 2005, Pages 171-187

  Bafumi, Joseph ^a   Gelman, Andrew ^a   Park, David K ^b   Kaplan, Noah ^c  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b WASHINGTON UNIVERSITY   (United States)

^c UNIVERSITY OF HOUSTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 26844452938     PISSN: 10471987     EISSN: None     Source Type: Journal    
DOI: 10.1093/pan/mpi010     Document Type: Article

References (27)

1. Bafumi, Joseph, Noah Kaplan, Nolan McCarty, Keith Poole, Andrew Gelman, and Charles Cameron. 2002. "Scaling the Supreme Court: A Comparison of Alternative Measures of the Justices' Idealogical Preferences, 1953 2001." Presented at the 2002 Annual Meeting of the Midwest Political Science Association, Chicago, IL.
2. Clinton, Joshua. 2001. "Legislators and their Constituencies: Representation in the 106th Congress." Presented at the 2001 Annual Meeting of the American Political Science Association, San Francisco, CA.
3. Clinton, Joshua, Simon Jackman, and Douglas Rivers. 2003. "The Statistical Analysis of Roll Call Data." Technical Report: Political Methodology Working Papers.
4. Clinton, Joshua, Simon Jackman, and Douglas Rivers. 2004. "The Statistical Analysis of Roll Call Data." American Political Science Review 98:355-370.
5. Fenno, Richard F. 1978. Home Style: House Members in Their Districts Boston: Little, Brown.
6. Gelman, Andrew. 2003. Bugs.R: Functions for Calling Bugs from R. Available at http://www.stat.columbia.edu/~gelman/bugsR.
7. Gelman, Andrew. 2004. "Exploratory Data Analysis for Complex Models (with Discussion)." Journal of Computational and Graphical Statistics 13:755-779.
8. Gelman, Andrew, John S. Carlin, Hal S. Stern, and Donald B. Rubin. 2003. Bayesian Data Analysis. 2nd ed. Boca Raton: Chapman and Hall.
9. Gelman, Andrew, and Donald B. Rubin. 1992. "Inference from Iterative Simulation using Multiple Sequences with Discussion." Statistical Science 7:457-511.
10. Gilks, Wally, R., Sylvia Richardson, and David J. Spiegelhalter, eds. 1996. Markov Chain Monte Carlo in Practice. London: Chapman & Hall.
11. Jackman, Simon. 2000. "Estimation and Inference are Missing Data Problems: Unifying Social Science Statistics via Bayesian Simulation." Political Analysis 8:307-332.
12. Jackman, Simon. 2001. "Multidimensional Analysis of Roll Call Data via Bayesian Simulation: Identification, Estimation, and Model Checking." Political Analysis 9:227-241.
13. Lahav, Gallya. 2004. Immigration and Politics in the New Europe. Reinventing Borders. London: Cambridge University Press.
14. Liu, Chuanahai. 2004. Robit Regression: A Simple Robust Alternative to Logistic and Probit Regression. In Applied Bayesian Modeling and Casual Inference from an Incomplete-Data Perspective, ed. Andrew Gelman and X. L. Meng. London: Wiley chapter 21.
15. Liu, Chuanhai, Donald B. Rubin, and Yingnian Wu. 1998. "Parameter Expansion to Accelerate EM: The PX-EM Algorithm." Biometrika 85:755-770.
16. Loken, Eric. 2004. Multimodality in Mixture Models and Factor Models. In Applied Bayesian Modeling and Causal Inference from an Incomplete-Data Perspective, ed. Andrew Gelman and X. L. Meng, London: Wiley, chap. 19.
17. Martin, Anderew D., and Kevin M. Quinn. 2001. "The Dimensions of Supreme Court Decision Making: Again Revisiting The Judicial Mind " Presented at the 2001 meeting of the Midwest Political Science Association.
18. Martin, Andrew D., and Kevin M. Quinn. 2002a. "Assessing Preference Change on the U.S. Supreme Court." Presented at the University of Houston, March 15, 2002.
19. Martin, Andrew D., and Kevin M. Quinn. 2002b. "Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999." Political Analysis 10:134-153.
20. Park, David. 2001. "Representation in the American States: The 100th Senate and Their Electorate." Unpublished working paper.
21. Poole, Keith T. n.d. "Spatial Models of Parliamentary Voting." Unpublished manuscript.
22. Poole, Keith T., and Howard Rosenthal. 1997. Congress: A Political-Economic History of Roll Call Voting. New York: Oxford University Press.
23. Pregibon, D. 1982. "Resistant Fits for Some Commonly Used Logistic Models with Medical Applications." Biometrics 38:485-498.
24. Development Core Team. 2003. R: A Language and Environment for Statistical Computing. Vienna, Austria: R. Foundation for Statistical Computing. Available at http://www.R-Project.org.
25. Rasch, George. 1980. Probabilistic Models for Some Intelligence and Attainment Tests. Chicago: University of Chicago Press.
26. Rivers, Douglas. 2003. "Identification of Multidimensional Spatial Voting Models." Technical Report: Political Methodology Working Papers.
27. Spiegelhalter, David J., Andrew Thomas, and Nickey G. Best. 1999. WinBugs Version 1.4. Cambridge: MRC Biostatistics Unit.