Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation
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Published By Springer New York

9781461270744, 9781461212768

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Computing Bayesian Credible and HPD Intervals

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation ◽

10.1007/978-1-4612-1276-8_7 ◽

2000 ◽

pp. 213-235 ◽

Cited By ~ 1

Author(s):

Ming-Hui Chen ◽

Qi-Man Shao ◽

Joseph G. Ibrahim

Keyword(s):

Hpd Intervals

Estimating Ratios of Normalizing Constants

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation ◽

10.1007/978-1-4612-1276-8_5 ◽

2000 ◽

pp. 124-190

Author(s):

Ming-Hui Chen ◽

Qi-Man Shao ◽

Joseph G. Ibrahim

Keyword(s):

Normalizing Constants

Bayesian Variable Selection

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation ◽

10.1007/978-1-4612-1276-8_9 ◽

2000 ◽

pp. 267-306 ◽

Cited By ~ 1

Author(s):

Ming-Hui Chen ◽

Qi-Man Shao ◽

Joseph G. Ibrahim

Keyword(s):

Variable Selection ◽

Bayesian Variable Selection

Markov Chain Monte Carlo Sampling

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation ◽

10.1007/978-1-4612-1276-8_2 ◽

2000 ◽

pp. 19-66

Author(s):

Ming-Hui Chen ◽

Qi-Man Shao ◽

Joseph G. Ibrahim

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Sampling

Bayesian Approaches for Comparing Nonnested Models

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation ◽

10.1007/978-1-4612-1276-8_8 ◽

2000 ◽

pp. 236-266

Author(s):

Ming-Hui Chen ◽

Qi-Man Shao ◽

Joseph G. Ibrahim

Keyword(s):

Bayesian Approaches ◽

Nonnested Models

Introduction

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation ◽

10.1007/978-1-4612-1276-8_1 ◽

2000 ◽

pp. 1-18 ◽

Cited By ~ 1

Author(s):

Ming-Hui Chen ◽

Qi-Man Shao ◽

Joseph G. Ibrahim

Estimating Marginal Posterior Densities

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation ◽

10.1007/978-1-4612-1276-8_4 ◽

2000 ◽

pp. 94-123 ◽

Cited By ~ 1

Author(s):

Ming-Hui Chen ◽

Qi-Man Shao ◽

Joseph G. Ibrahim

Basic Monte Carlo Methods for Estimating Posterior Quantities

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation ◽

10.1007/978-1-4612-1276-8_3 ◽

2000 ◽

pp. 67-93

Author(s):

Ming-Hui Chen ◽

Qi-Man Shao ◽

Joseph G. Ibrahim

Keyword(s):

Monte Carlo ◽

Monte Carlo Methods

Monte Carlo Methods for Constrained Parameter Problems

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation ◽

10.1007/978-1-4612-1276-8_6 ◽

2000 ◽

pp. 191-212

Author(s):

Ming-Hui Chen ◽

Qi-Man Shao ◽

Joseph G. Ibrahim

Keyword(s):

Monte Carlo ◽

Monte Carlo Methods

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Computing Bayesian Credible and HPD Intervals

Other Topics

Estimating Ratios of Normalizing Constants

Bayesian Variable Selection

Markov Chain Monte Carlo Sampling

Bayesian Approaches for Comparing Nonnested Models

Introduction

Estimating Marginal Posterior Densities

Basic Monte Carlo Methods for Estimating Posterior Quantities

Monte Carlo Methods for Constrained Parameter Problems

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Springer Series in Statistics - Monte Carlo Methods in Bayesian ComputationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Computing Bayesian Credible and HPD Intervals

Other Topics

Estimating Ratios of Normalizing Constants

Bayesian Variable Selection

Markov Chain Monte Carlo Sampling

Bayesian Approaches for Comparing Nonnested Models

Introduction

Estimating Marginal Posterior Densities

Basic Monte Carlo Methods for Estimating Posterior Quantities

Monte Carlo Methods for Constrained Parameter Problems

Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation
Latest Publications