A first course in Bayesian statistical methods / Peter D. Hoff.
Material type:
TextLanguage: English Series: Springer texts in statisticsPublication details: London ; New York : Springer, c2009. Description: 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 library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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EWU Library E-book | Non-fiction | 519.5 HOF 2009 (Browse shelf(Opens below)) | Not for loan | ||||
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EWU Library Reserve Section | Non-fiction | 519.5 HOF 2009 (Browse shelf(Opens below)) | C-1 | Not For Loan | 26679 |
Includes bibliographical references (p. [259]-265) and index.
TOC 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.
AS
Tahur Ahmed
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