Hoff, Peter D.

A first course in Bayesian statistical methods / Peter D. Hoff. - London ; New York : Springer, c2009. - ix, 270 p. : ill. ; 24 cm. - Springer texts in statistics . - Springer texts in statistics. .

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. Table of contents



This compact, self-contained introduction to the theory and application of Bayesian statistical methods is accessible to those with a basic familiarity with probability, yet allows advanced readers to grasp the principles underlying Bayesian theory and method.



9780387922997 (hbk. : acidfree paper) 0387922997 (hbk.) 9780387924076 (eISBN) 0387924078

2009929120


Bayesian statistical decision theory.
Social sciences--Statistical methods.
Statistique bayésienne.
Methode van Bayes.
Bayes-Verfahren.

QA279.5 / .H64 2009

519.5 / HOF 2009

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