ISBN: 9780387922997
This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with p… Mehr…
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A First Course in Bayesian Statistical Methods / Peter D. Hoff / Buch / Springer Texts in Statistics / IX / Englisch / 2009 / Springer US / EAN 9780387922997 - gebunden oder broschiert
2009, ISBN: 9780387922997
[ED: Gebunden], [PU: Springer US], Provides a nice introduction to Bayesian statistics with sufficient grounding in the Bayesian framework without being distracted by more esoteric points… Mehr…
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2001, ISBN: 9780387922997
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied materia… Mehr…
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2001, ISBN: 9780387922997
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied materia… Mehr…
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2009, ISBN: 9780387922997
[PU: Springer US], Gepflegter, sauberer Zustand. Innen: Seiten eingerissen. 5160417/2, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 1st ed. 2009, Banküberweisung, Kreditkart… Mehr…
booklooker.de |
ISBN: 9780387922997
This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with p… Mehr…
Hoff, Peter D.:
A First Course in Bayesian Statistical Methods / Peter D. Hoff / Buch / Springer Texts in Statistics / IX / Englisch / 2009 / Springer US / EAN 9780387922997 - gebunden oder broschiert2009, ISBN: 9780387922997
[ED: Gebunden], [PU: Springer US], Provides a nice introduction to Bayesian statistics with sufficient grounding in the Bayesian framework without being distracted by more esoteric points… Mehr…
2001
ISBN: 9780387922997
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied materia… Mehr…
2001, ISBN: 9780387922997
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied materia… Mehr…
2009, ISBN: 9780387922997
[PU: Springer US], Gepflegter, sauberer Zustand. Innen: Seiten eingerissen. 5160417/2, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 1st ed. 2009, Banküberweisung, Kreditkart… Mehr…
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Detailangaben zum Buch - A First Course in Bayesian Statistical Methods
EAN (ISBN-13): 9780387922997
ISBN (ISBN-10): 0387922997
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: Springer-Verlag GmbH
268 Seiten
Gewicht: 0,560 kg
Sprache: Englisch
Buch in der Datenbank seit 2008-07-31T01:06:01+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-01-11T11:34:29+01:00 (Berlin)
ISBN/EAN: 9780387922997
ISBN - alternative Schreibweisen:
0-387-92299-7, 978-0-387-92299-7
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: hoff peter, syd hoff, springer peter
Titel des Buches: first course bayesian, statistical methods, new bayesian, bayes, bayesian statistics, springer texts
Daten vom Verlag:
Autor/in: Peter D. Hoff
Titel: Springer Texts in Statistics; A First Course in Bayesian Statistical Methods
Verlag: Springer; Springer US
271 Seiten
Erscheinungsjahr: 2009-06-15
New York; NY; US
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
80,24 € (DE)
82,49 € (AT)
88,50 CHF (CH)
POD
IX, 271 p.
BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Markov chain; Statistical Computing; Statistical Method; Statistical Models; algorithms; data analysis; linear regression; modeling; Probability Theory; Operations Research, Management Science; Statistical Theory and Methods; Sociological Methods; Probability and Statistics in Computer Science; Econometrics; Stochastik; Unternehmensforschung; Soziologie; Mathematik für Informatiker; Ökonometrie und Wirtschaftsstatistik; EA; BC
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.Provides a nice introduction to Bayesian statistics with sufficient grounding in the Bayesian framework without being distracted by more esoteric points The material is well-organized, weaving applications, background material and computation discussions throughout the book R examples also facilitate how the approaches work Includes supplementary material: sn.pub/extras
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