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Understanding computational Bayesian statistics /

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Bibliographic Details
Main Author:	Bolstad, William M., 1943-
Format:	eBook
Language:	English
Published:	Hoboken, N.J. : Wiley, [2010]
Series:	Wiley Online Library. Wiley series in computational statistics.
Subjects:	Bayes-Entscheidungstheorie. Bayesian statistical decision theory > Data processing. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Front Matter
Introduction to Bayesian Statistics
Monte Carlo Sampling from the Posterior
Bayesian Inference
Bayesian Statistics Using Conjugate Priors
Markov Chains
Markov Chain Monte Carlo Sampling from Posterior
Statistical Inference from a Markov Chain Monte Carlo Sample
Logistic Regression
Poisson Regression and Proportional Hazards Model
Gibbs Sampling and Hierarchical Models
Going Forward with Markov Chain Monte Carlo
A: Using the Included Minitab Macros
B: Using the Included R Functions
References
Topic Index
Wiley Series in Computational Statistics
Introduction to Bayesian statistics
Monte Carlo sampling from the posterior
Bayesian inference
Bayesian statistics using conjugate priors
Markov chains
Markov chain Monte Carlo sampling from the posterior
Statistical inference from a Markov chain Monte Carlo sample
Logistic regression
Poisson regression and proportional hazards model
Gibbs sampling and hierarchical models
Going forward with Markov chain Monte Carlo
Appendix A: Using the included Minitab macros
Appendix B: Using the included R functions.