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A first course in Bayesian statistical methods
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A first course in Bayesian statistical methods

Author: Peter D Hoff
Publisher: New York ; London : Springer, 2009.
Series: Springer texts in statistics.
Edition/Format: eBook : Document : EnglishView all editions and formats
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Peter D Hoff
ISBN: 9780387924076 0387924078
OCLC Number: 432708578
Notes: Title from PDF t.p. (SpringerLink, viewed Jan. 12, 2010).
Description: 1 online resource (ix, 270 p.) : ill.
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.
Series Title: Springer texts in statistics.
Responsibility: by Peter D. Hoff.
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