Springer Series in Statistics - Monte Carlo Methods in Bayesian Computation
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9781461270744, 9781461212768

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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

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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

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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

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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

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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

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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

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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

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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

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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

Download Full-text

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Other Topics

Estimating Ratios of Normalizing Constants

Computing Bayesian Credible and HPD Intervals

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

Export Citation Format

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

Other Topics

Estimating Ratios of Normalizing Constants

Computing Bayesian Credible and HPD Intervals

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