References

Aitchison, J. 1982. “The Statistical Analysis of Compositional Data.” Journal of the Royal Statistical Society. Series B (Methodological) 44 (2). [Royal Statistical Society, Wiley]: 139–77. http://www.jstor.org/stable/2345821.

Albert, Jim, and Siddhartha Chib. 1995. “Bayesian Residual Analysis for Binary Response Regression Models.” Biometrika 82 (4). Oxford University Press (OUP): 747–69. https://doi.org/10.1093/biomet/82.4.747.

Alvarez, R. Michael, Geoffrey Garrett, and Peter Lange. 1991. “Government Partisanship, Labor Organization, and Macroeconomic Performance.” The American Political Science Review 85 (2). [American Political Science Association, Cambridge University Press]: 539–56. http://www.jstor.org/stable/1963174.

Betancourt, M. J., and Mark Girolami. 2013. “Hamiltonian Monte Carlo for Hierarchical Models,” December. http://arxiv.org/abs/1312.0906v1.

Bliss, C. I. 1935. “The Calculation of the Dosage-Mortality Curve.” Annals of Applied Biology 22 (1). Wiley-Blackwell: 134–67. https://doi.org/10.1111/j.1744-7348.1935.tb07713.x.

Carlin, Bradley P., and Thomas A. Louis. 2000. Bayes and Empirical Bayes Methods for Data Analysis. 2nd ed. Chapman; Hall/CRC.

Dorn, Harold F. 1954. “The Relationship of Cancer of the Lung and the Use of Tobacco.” The American Statistician 8 (5). [American Statistical Association, Taylor & Francis, Ltd.]: 7–13. http://www.jstor.org/stable/2681545.

Draper, IDavid. 1992. Combining Information: Statistical Issues and Opportunities for Research. Contemporary Statistics. National Academy Press. https://books.google.com/books?id=l0ArAAAAYAAJ.

Gelman, A., Y. Goegebeur, F. Tuerlinckx, and I. Van Mechelen. 2000. “Diagnostic Checks for Discrete Data Regression Models Using Posterior Predictive Simulations.” Journal of the Royal Statistical Society: Series C (Applied Statistics) 49 (2). Wiley-Blackwell: 247–68. https://doi.org/10.1111/1467-9876.00190.

Grunberg, Gérard, Nonna Mayer, and Paul M. Sniderman. 2002. La Démocratie à L’épreuve : Une Nouvelle Approche de L’opinion Des Français. Fnsp - Presse de la.

Hanmer, Michael J., and Kerem Ozan Kalkan. 2012. “Behind the Curve: Clarifying the Best Approach to Calculating Predicted Probabilities and Marginal Effects from Limited Dependent Variable Models.” American Journal of Political Science 57 (1). Wiley-Blackwell: 263–77. https://doi.org/10.1111/j.1540-5907.2012.00602.x.

Herron, Michael C. 1999. “Postestimation Uncertainty in Limited Dependent Variable Models.” Political Analysis 8 (01). Cambridge University Press (CUP): 83–98. https://doi.org/10.1093/oxfordjournals.pan.a029806.

———. 2010. “Replication Data for: Post-Estimation Uncertainty in Limited Dependent Variable Models.” Harvard Dataverse. https://doi.org/1902.1/11199.

Jackman, Simon. 2000. “Estimation and Inference Are Missing Data Problems: Unifying Social Science Statistics via Bayesian Simulation.” Political Analysis 8 (4). [Oxford University Press, Society for Political Methodology]: 307–32. http://www.jstor.org/stable/25791616.

———. 2004. “Bayesian Analysis for Political Research.” Annual Review of Political Science 7 (1). Annual Reviews: 483–505. https://doi.org/10.1146/annurev.polisci.7.012003.104706.

———. 2005. “Pooling the Polls over an Election Campaign.” Australian Journal of Political Science 40 (4). Informa UK Limited: 499–517. https://doi.org/10.1080/10361140500302472.

———. 2009. Bayesian Analysis for the Social Sciences. John Wiley; Sons Ltd.

Johnson, Valen E., and James H. Albert. 1999. Ordinal Data Modeling. Springer-Verlag. https://doi.org/10.1007/b98832.

Juárez, Miguel A., and Mark F. J. Steel. 2010. “Model-Based Clustering of Non-Gaussian Panel Data Based on Skew-t Distributions.” Journal of Business & Economic Statistics 28 (1). Informa UK Limited: 52–66. https://doi.org/10.1198/jbes.2009.07145.

Katz, Jonathan N., and Gary King. 1999. “A Statistical Model for Multiparty Electoral Data.” American Political Science Review 93 (01). Cambridge University Press (CUP): 15–32. https://doi.org/10.2307/2585758.

King, Gary, Michael Tomz, and Jason Wittenberg. 2000. “Making the Most of Statistical Analyses: Improving Interpretation and Presentation.” American Journal of Political Science 44 (2). [Midwest Political Science Association, Wiley]: 347–61. http://www.jstor.org/stable/2669316.

Krehbiel, Keith. 1995. “Cosponsors and Wafflers from a to Z.” American Journal of Political Science 39 (4). JSTOR: 906. https://doi.org/10.2307/2111662.

Linzer, Drew A. 2013. “Dynamic Bayesian Forecasting of Presidential Elections in the States.” Journal of the American Statistical Association 108 (501): 124–34. https://doi.org/10.1080/01621459.2012.737735.

Liu, Chuanhai. 2005. “Robit Regression: A Simple Robust Alternative to Logistic and Probit Regression.” In Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives, 227–38. John Wiley & Sons, Ltd. https://doi.org/10.1002/0470090456.ch21.

Nagler, Jonathan. 1994. “Scobit: An Alternative Estimator to Logit and Probit.” American Journal of Political Science 38 (1). [Midwest Political Science Association, Wiley]: 230–55. http://www.jstor.org/stable/2111343.

Poole, Keith T., and Howard Rosenthal. 2000. Congress: A Political-Economic History of Roll Call Voting. Oxford University Press.

Prentice, Ross L. 1976. “A Generalization of the Probit and Logit Methods for Dose Response Curves.” Biometrics 32 (4). [Wiley, International Biometric Society]: 761–68. http://www.jstor.org/stable/2529262.

Spiegelhalter, D. J., A. Thomas N. Best, and W. R. Gilks. 1996. “BUGS: Bayesian Inference Using Gibbs Sampling, Version 0.5.”

Stan Development Team. 2016. Stan Modeling Language Users Guide and Reference Manual, Version 2.14.0. https://github.com/stan-dev/stan/releases/download/v2.14.0/stan-reference-2.14.0.pdf.

Stukel, Therese A. 1988. “Generalized Logistic Models.” Journal of the American Statistical Association 83 (402). [American Statistical Association, Taylor & Francis, Ltd.]: 426–31. http://www.jstor.org/stable/2288858.

Tanner, Martin A. 1996. Tools for Statistical Inference. Springer.

Tomz, Michael, and Robert P. Van Houweling. 2003. “How Does Voting Equipment Affect the Racial Gap in Voided Ballots?” American Journal of Political Science 47 (1). Wiley-Blackwell: 46–60. https://doi.org/10.1111/1540-5907.00004.

Tomz, Michael, Joshua A. Tucker, and Jason Wittenberg. 2002. “An Easy and Accurate Regression Model for Multiparty Electoral Data.” Political Analysis 10 (1). [Oxford University Press, Society for Political Methodology]: 66–83. http://www.jstor.org/stable/25791665.

Western, Bruce. 1998. “Causal Heterogeneity in Comparative Research: A Bayesian Hierarchical Modelling Approach.” American Journal of Political Science 42 (4). [Midwest Political Science Association, Wiley]: 1233–59. https://doi.org/10.2307/2991856.