
14
Bayesian Inference for Logistic Regression
Models U sing Sequential Posterior Simulation
John Geweke
University of Technology
Garland Durham
California Polytechnic State University
Huaxin Xu
University of Technology
CONTENTS
14.1 Intro ductio n . . . . . . . . .. . . . . . .. .. . . . . . .. . . .. . . . .. . . .. . . . .. .. . . . .. .. . 288
14.2 Sequential Posterior Simulatio n Algorithms for Bayesian
Inference . . . . .. . . .. . . . . . .. .. . . . . . .. .. . . . . . .. . . .. . . . .. .. .. . .. . . . . . . 289
14.2.1 Notation and conditions . . . .. . . .. . . . .. . . .. . .. .. .. . . . .. . . . 2 89
14.2.2 Non-Adaptive SPS algorithm . . .