xii Contents
13.3.1 Posterior probability 271
13.3.2 Overview of the Swendsen–Wang Cuts algorithm 271
13.3.3 Graph constr uction 273
13.3.4 Optimization by simulated annealing 274
13.3.5 Complexity analysis 275
13.4 Application: Motion Segmentation 276
13.4.1 Dimension reduction 27 7
13.4.2 Experiments on the Hopkins 155 dataset 277
13.4.3 Scalability experiments on la rge data 281
13.5 Conclusion 283
14 Bayesian Inference for Logistic Regression Models Using
Sequential Pos te rior Simulation 287
John Geweke, Garland Durham, and Huaxin Xu
14.1 Introduction 2 88
14.2 Sequential Po sterior Simulation Algorithms for Bayesian
Inference 289
14.2.1 Notation and conditions 289
14.2.2 Non-Adaptive SPS algorithm 292
14.2.3 Adaptive SPS algorithm 293
14.2.4 The two-pa ...