A first course in Bayesian statistical methods / Peter D. Hoff.
By: Hoff, Peter D
Material type: 
TextLanguage: English Series: Springer texts in statistics: Publisher: London ; New York : Springer, c2009Description: ix, 270 p. : ill. ; 24 cmISBN: 9780387922997 (hbk. : acidfree paper); 0387922997 (hbk.); 9780387924076 (eISBN); 0387924078Subject(s): Bayesian statistical decision theory | Social sciences -- Statistical methods | Statistique bayésienne | Methode van Bayes | Bayes-VerfahrenDDC classification: 519.5 LOC classification: QA279.5 | .H64 2009Online resources: Table of contents | WorldCat details | E-book Fulltext | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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| 519.5 DEH 2009 A handbook of statistical analyses using SAS / | 519.5 DIS 2011 Statistics and scientific method : | 519.5 DOI 2008 An introduction to generalized linear models / | 519.5 HOF 2009 A first course in Bayesian statistical methods / | 519.5 HOI 2005 Introduction to mathematical statistics / | 519.5 INT 2017 An introduction to statistical learning : | 519.5 JIL 2007 Linear and generalized linear mixed models and their applications / |
Includes bibliographical references (p. [259]-265) and index.
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 Metropolis-Hastings algorithms -- Linear and generalized linear mixed effects models -- Latent variable methods for ordinal data.
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.
Applied Statistics
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