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Regression Models for Count Data in R
The classical Poisson, geometric and negative binomial regression models for count data belong to the family of generalized linear models and are available at the core of the statistics toolbox in
The Statistical Analysis of Roll Call Data
We develop a Bayesian procedure for estimation and inference for spatial models of roll call voting. This approach is extremely flexible, applicable to any legislative setting, irrespective of size,
Bayesian Analysis for the Social Sciences
  • S. Jackman
  • Mathematics, Computer Science
  • 2 December 2009
This chapter discusses Bayesian analysis for simple models, which focuses on the case for hierarchical modeling, and its applications in the Social Sciences and Simulation Based Bayesian Analysis.
Multidimensional Analysis of Roll Call Data via Bayesian Simulation: Identification, Estimation, Inference, and Model Checking
  • S. Jackman
  • Economics
    Political Analysis
  • 1 January 2001
Bayesian simulation facilitates use of vote-specific discrimination parameters in higher-dimensional settings, by simplifying estimation and inference for the massive number of parameters generated by roll call analysis.
Democracy as a Latent Variable
We apply formal, statistical measurement models to the Polity indicators, used widely in studies of international relations to measure democracy. In so doing, we make explicit the hitherto implicit
Pooling the polls over an election campaign
Poll results vary over the course of a campaign election and across polling organisations, making it difficult to track genuine changes in voter support. I present a statistical model that tracks
Introduction to Factor Analysis
The factor loadings k are parameters to be estimated that tap how the unobserved factors account for the observed variables: the larger the values of k, the more a particular variable is said to
Alternative Models of Dynamics in Binary Time-Series-Cross-Section Models: The Example of State Failure 1
This paper investigates a variety of dynamic probit models for time-series– cross-section data in the context of explaining state failure. It shows that ordinary probit, which ignores dynamics, is
Do Attitudes About Immigration Predict Willingness to Admit Individual Immigrants? A Cross-National Test of the Person-Positivity Bias
This paper demonstrates that citizens in seven advanced industrialized democracies generally oppose more open immigration policies, but stand ready to admit individual immigrants. Using an