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Understanding computational Bayesian statistics [electronic resource] / William M. Bolstad.

A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge appro...

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Bibliographic Details
Online Access: Full Text (via Wiley)
Main Author: Bolstad, William M., 1943-
Format: Electronic eBook
Language:English
Published: Hoboken, N.J. : Wiley, ©2010.
Series:Wiley series in computational statistics.
Subjects:
Bayesian statistical decision theory > Data processing.
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.

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