The Resource Bayesian Core: A Practical Approach to Computational Bayesian Statistics, by Jean-Michel Marin, Christian Robert, (electronic resource)

Bayesian Core: A Practical Approach to Computational Bayesian Statistics, by Jean-Michel Marin, Christian Robert, (electronic resource)

Label
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
Title
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
Statement of responsibility
by Jean-Michel Marin, Christian Robert
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. While R programs are provided on the book website and R hints are given in the computational sections of the book, The Bayesian Core requires no knowledge of the R language and it can be read and used with any other programming language. The Bayesian Core can be used as a textbook at both undergraduate and graduate levels, as exemplified by courses given at Université Paris Dauphine (France), University of Canterbury (New Zealand), and University of British Columbia (Canada). It serves as a unique textbook for a service course for scientists aiming at analyzing data the Bayesian way as well as an introductory course on Bayesian statistics. The prerequisites for the book are a basic knowledge of probability theory and of statistics. Methodological and data-based exercises are included within the main text and students are expected to solve them as they read the book. Those exercises can obviously serve as assignments, as was done in the above courses. Datasets, R codes and course slides all are available on the book website. Jean-Michel Marin is currently senior researcher at INRIA, the French Computer Science research institute, and located at Université Paris-Sud, Orsay. He has previously been Assistant Professor at Université Paris Dauphine for four years. He has written numerous papers on Bayesian methodology and computing, and is currently a member of the council of the French Statistical Society. Christian Robert is Professor of Statistics at Université Paris Dauphine and Head of the Statistics Research Laboratory at CREST-INSEE, Paris. He has written over a hundred papers on Bayesian Statistics and computational methods and is the author or co-author of seven books on those topics, including The Bayesian Choice (Springer, 2001), winner of the ISBA DeGroot Prize in 2004. He is a Fellow and member of the council of the Institute of Mathematical Statistics, and a Fellow and member of the research committee of the Royal Statistical Society. He is currently co-editor of the Journal of the Royal Statistical Society, Series B, after taking part in the editorial boards of the Journal of the American Statistical Society, the Annals of Statistics, Statistical Science, and Bayesian Analysis. He is also the winner of the Young Statistician prize of the Paris Statistical Society in 1996 and a recipient of an Erskine Fellowship from the University of Canterbury (NZ) in 2006
Member of
Is Subseries of
http://library.link/vocab/creatorName
Marin, Jean-Michel
Dewey number
519.5/42
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • v_AUjFLJt6w
  • 14qiDvwAMgk
Language note
English
LC call number
  • QA273.A1-274.9
  • QA274-274.9
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Robert, Christian.
Series statement
Springer Texts in Statistics,
http://library.link/vocab/subjectName
  • Distribution (Probability theory
  • Mathematical statistics
  • Computer science
  • Computer simulation
  • Engineering
  • Computer science
  • Probability Theory and Stochastic Processes
  • Statistical Theory and Methods
  • Probability and Statistics in Computer Science
  • Simulation and Modeling
  • Computational Intelligence
  • Computational Mathematics and Numerical Analysis
Label
Bayesian Core: A Practical Approach to Computational Bayesian Statistics, by Jean-Michel Marin, Christian Robert, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. [247]-249) and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
User’s Manual -- Normal Models -- Regression and Variable Selection -- Generalized Linear Models -- Capture–Recapture Experiments -- Mixture Models -- Dynamic Models -- Image Analysis
Dimensions
unknown
Edition
1st ed. 2007.
Extent
1 online resource (264 p.)
Form of item
online
Isbn
9780387389837
Media category
computer
Media type code
c
Other control number
10.1007/978-0-387-38983-7
Specific material designation
remote
System control number
  • (CKB)1000000000282741
  • (EBL)3062404
  • (SSID)ssj0000768298
  • (PQKBManifestationID)12301142
  • (PQKBTitleCode)TC0000768298
  • (PQKBWorkID)10758903
  • (PQKB)10040977
  • (SSID)ssj0000316447
  • (PQKBManifestationID)11261404
  • (PQKBTitleCode)TC0000316447
  • (PQKBWorkID)10281806
  • (PQKB)10736047
  • (DE-He213)978-0-387-38983-7
  • (MiAaPQ)EBC3062404
  • (EXLCZ)991000000000282741
Label
Bayesian Core: A Practical Approach to Computational Bayesian Statistics, by Jean-Michel Marin, Christian Robert, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. [247]-249) and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
User’s Manual -- Normal Models -- Regression and Variable Selection -- Generalized Linear Models -- Capture–Recapture Experiments -- Mixture Models -- Dynamic Models -- Image Analysis
Dimensions
unknown
Edition
1st ed. 2007.
Extent
1 online resource (264 p.)
Form of item
online
Isbn
9780387389837
Media category
computer
Media type code
c
Other control number
10.1007/978-0-387-38983-7
Specific material designation
remote
System control number
  • (CKB)1000000000282741
  • (EBL)3062404
  • (SSID)ssj0000768298
  • (PQKBManifestationID)12301142
  • (PQKBTitleCode)TC0000768298
  • (PQKBWorkID)10758903
  • (PQKB)10040977
  • (SSID)ssj0000316447
  • (PQKBManifestationID)11261404
  • (PQKBTitleCode)TC0000316447
  • (PQKBWorkID)10281806
  • (PQKB)10736047
  • (DE-He213)978-0-387-38983-7
  • (MiAaPQ)EBC3062404
  • (EXLCZ)991000000000282741

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