Chapter 4. Bayesian Statistical Inference III: MCMC Algorithms and WinBUGS Software Applications

  1. Howard B. Stauffer

Published Online: 11 APR 2007

DOI: 10.1002/9780470185094.ch4

Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

How to Cite

Stauffer, H. B. (2007) Bayesian Statistical Inference III: MCMC Algorithms and WinBUGS Software Applications, in Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470185094.ch4

Author Information

  1. Mathematics Department, Humboldt State University, Arcata, California, USA

Publication History

  1. Published Online: 11 APR 2007
  2. Published Print: 16 NOV 2007

ISBN Information

Print ISBN: 9780470165041

Online ISBN: 9780470185094

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Keywords:

  • normal conjugate priors and gamma conjugate priors;
  • simple normal mean model and continuous data;
  • posterior distribution density functions

Summary

This chapter contains sections titled:

  • Introduction

  • Markov Chain Theory

  • MCMC Algorithms

  • WinBUGS Applications

  • Summary

  • Problems