University of Kabianga
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A first course in Bayesian statistical methods / Peter D. Hoff.

By: Material type: TextTextPublisher number: 11933663Series: Springer texts in statisticsPublication details: London ; New York : Springer, c2009.Description: ix, 270 p. : ill. ; 24 cmISBN:
  • 9780387922997
Subject(s): LOC classification:
  • QA279.5 .H64 2009
Other classification:
  • 510
  • MAT 622f
  • SK 830
Online resources:
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 Metropolis-Hastings algorithms -- Linear and generalized linear mixed effects models -- Latent variable methods for ordinal data.
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Item type Current library Call number Status Barcode
General Collection Main Campus Library General Stacks QA279.5 .H64 2009 (Browse shelf(Opens below)) Available 00024604

Includes bibliographical references (p. [259]-265) and index.

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

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