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The Resource A first course in Bayesian statistical methods, by Peter D. Hoff, (electronic book)

A first course in Bayesian statistical methods, by Peter D. Hoff, (electronic book)

Label
A first course in Bayesian statistical methods
Title
A first course in Bayesian statistical methods
Statement of responsibility
by Peter D. Hoff
Creator
Subject
Language
eng
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Hoff, Peter D
Dewey number
300.727
Illustrations
illustrations
Index
index present
LC call number
QA279.5
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Springer texts in statistics,
http://library.link/vocab/subjectName
  • Bayes Theorem
  • Bayesian statistical decision theory
  • Social sciences
  • Statistique bayésienne
Label
A first course in Bayesian statistical methods, by Peter D. Hoff, (electronic book)
Instantiates
Publication
Note
Title from PDF t.p. (SpringerLink, viewed Jan. 12, 2010)
Bibliography note
Includes bibliographical references (p. [259]-265) and index
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
Control code
SPR432708578
Extent
1 online resource (ix, 270 p.)
Form of item
online
Isbn
9780387924076
Other physical details
ill.
Specific material designation
remote
Label
A first course in Bayesian statistical methods, by Peter D. Hoff, (electronic book)
Publication
Note
Title from PDF t.p. (SpringerLink, viewed Jan. 12, 2010)
Bibliography note
Includes bibliographical references (p. [259]-265) and index
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
Control code
SPR432708578
Extent
1 online resource (ix, 270 p.)
Form of item
online
Isbn
9780387924076
Other physical details
ill.
Specific material designation
remote

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