A First Course in Bayesian Statistical Methods (Springer Texts in Statistics 1st ed. 2009)

A First Course in Bayesian Statistical Methods (Springer Texts in Statistics 1st ed. 2009)

By: Peter D. Hoff (author)Paperback

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Description

* A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material. * Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. * The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.

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Contents

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 Metropolis-Hastings algorithms.- Linear and generalized linear mixed effects models.- Latent variable methods for ordinal data.

Product Details

  • publication date: 15/06/2009
  • ISBN13: 9780387922997
  • Format: Paperback, Hardback
  • Number Of Pages: 280
  • ID: 9780387922997
  • weight: 576
  • ISBN10: 0387922997
  • edition: 1st ed. 2009

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