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LEADER 00000cam a2200793Mi 4500
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049 INap
082 04 519.5/42
082 04 519.5/42|223
099 eBook O'Reilly for Public Libraries
100 1 Gelman, Andrew,|eauthor.
245 10 Bayesian data analysis /|cAndrew Gelman, John B. Carlin,
Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B.
Rubin.|h[O'Reilly electronic resource]
246 14 BDA3
250 Third edition.
264 1 Boca Raton :|bCRC Press,|c[2014]
264 4 |c©2014
300 1 online resource (xiv, 661 pages) :|billustrations.
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
490 1 Chapman & Hall/CRC texts in statistical science
504 Includes bibliographical references (pages 607-639) and
indexes.
505 00 |gPart I: --|tFundamentals of Bayesian inference. --
|tProbability and inference --|tSingle-parameter models --
|tIntroduction to multiparameter models --|tAsymptotics
and connections to non-Bayesian approaches --
|tHierarchical models|gPart II: Fundamentals of Bayesian
data analysis. --|tModel checking --|tEvaluating,
comparing, and expanding models --|tModeling accounting
for data collection --|tDecision analysis|gPart III: --
|tAdvanced computation. --|tIntroduction to Bayesian
computation --|tBasics of Markov chain simulation --
|tComputationally efficient Markov chain simulation --
|tModal and distributional approximations|gPart IV: --
|tRegression models. --|tIntroduction to regression models
--|tHierarchical linear models --|tGeneralized linear
models --|tModels for robust inference --|tModels for
missing data|gPart V: --|tNonlinear and nonparametric
models. --|tParametric nonlinear models --|tBasis function
models --|tGaussian process models --|tFinite mixture
models --|tDirichlet process models --|tA. Standard
probability distributions --|tB. Outline of proofs of
limit theorems --|tComputation in R and Stan.
520 "Preface This book is intended to have three roles and to
serve three associated audiences: an introductory text on
Bayesian inference starting from first principles, a
graduate text on effective current approaches to Bayesian
modeling and computation in statistics and related fields,
and a handbook of Bayesian methods in applied statistics
for general users of and researchers in applied
statistics. Although introductory in its early sections,
the book is definitely not elementary in the sense of a
first text in statistics. The mathematics used in our book
is basic probability and statistics, elementary calculus,
and linear algebra. A review of probability notation is
given in Chapter 1 along with a more detailed list of
topics assumed to have been studied. The practical
orientation of the book means that the reader's previous
experience in probability, statistics, and linear algebra
should ideally have included strong computational
components. To write an introductory text alone would
leave many readers with only a taste of the conceptual
elements but no guidance for venturing into genuine
practical applications, beyond those where Bayesian
methods agree essentially with standard non-Bayesian
analyses. On the other hand, we feel it would be a mistake
to present the advanced methods without first introducing
the basic concepts from our data-analytic perspective.
Furthermore, due to the nature of applied statistics, a
text on current Bayesian methodology would be incomplete
without a variety of worked examples drawn from real
applications. To avoid cluttering the main narrative,
there are bibliographic notes at the end of each chapter
and references at the end of the book"--|cProvided by
publisher.
588 0 Print version record.
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Bayesian statistical decision theory.
650 6 Théorie de la décision bayésienne.
650 7 Bayesian statistical decision theory|2fast
700 1 Carlin, John B.,|eauthor.
700 1 Stern, Hal Steven,|eauthor.
700 1 Dunson, David B.,|eauthor.
700 1 Vehtari, Aki,|eauthor.
700 1 Rubin, Donald B.,|eauthor.
776 08 |iPrint version:|aGelman, Andrew.|tBayesian data analysis.
|bThird edition.|dBoca Raton : CRC Press, 2014
|z9781439840955|w(DLC) 2013039507|w(OCoLC)859253474
830 0 Texts in statistical science.
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9781439898222/?ar
|zAvailable on O'Reilly for Public Libraries
938 CRC Press|bCRCP|n9781439898208
938 ProQuest Ebook Central|bEBLB|nEBL1438153
938 EBSCOhost|bEBSC|n1763244
938 YBP Library Services|bYANK|n12368315
994 92|bJFN