A First Course in Bayesian Statistical Methods

• Main Author: Hoff, Peter D. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York, 2009.
• Series: Springer Texts in Statistics,
• Subjects: Statistics.; Computer science.; Data mining.; Mathematical statistics.; Econometrics.; Social sciences > Methodology.; Statistical Theory and Methods.; Methodology of the Social Sciences.; Probability and Statistics in Computer Science.; Operations Research/Decision Theory.; Data Mining and Knowledge Discovery.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-92407-6

This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and metho...

Table of Contents:

• Introduction and examples
• Belief, probability and exchangeability
• One parameter models
• Monte Carlo approximation
• The normal model
• Posterior approximation with the Gibbs sampler
• The multivariate normal model
• Group comparisons and hierarchical modeling
• Linear regression
• Nonconjugate priors and the Metropolis-Hastings algorithm
• Linear and generalized linear mixed effects models
• Latent variable methods for ordinal data.