Bayesian modeling using WinBUGS

Bayesian modeling using WinBUGS / Ioannis Ntzoufras.

"Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic, offering readers a smooth introduction to the principles of Bayesian mod...

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Bibliographic Details
Main Author: Ntzoufras, Ioannis, 1973-
Format: eBook
Language:English
Published: Hoboken, N.J. : Wiley, ©2009.
Subjects:
WinBUGS.
WinBUGS
Bayesian statistical decision theory.
MATHEMATICS > Probability & Statistics > Bayesian Analysis.
Bayesian statistical decision theory
Methode van Bayes.
dissertations.
Academic theses
Academic theses.
Thèses et écrits académiques.
Online Access:Click for online access
Table of Contents:
  • Introduction to Bayesian inference
  • Markov chain Monte Carlo algorithms in Bayesian inference
  • WinBUGS software : introduction, setup, and basic analysis
  • WinBUGS software : illustration, results, and further analysis
  • Introduction to Bayesian models : normal models
  • Incorporating categorical variables in normal models and further modeling issues
  • Introduction to generalized linear models : binomial and Poisson data
  • Models for positive continuous data, count data, and other GLM-based extensions
  • Bayesian hierarchical models
  • The predictive distribution and model checking
  • Bayesian model and variable evaluation
  • Appendix A : Model specification via directed acyclic graphs : the DOODLE menu
  • Appendix B : The batch mode : running a model in the background using scripts
  • Appendix C : Checking convergence using CODA/BOA
  • Appendix D : Notation summary.

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