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Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Record no. 425474)

000 -LEADER
fixed length control field 05976nam a22006255i 4500
020 ## - INTERNATIONAL STANDARD BOOKNUMBER
International Standard Book Number 9780387389837
-- 978-0-387-38983-7
024 7# -
-- 10.1007/978-0-387-38983-7
-- doi
040 ## -
-- ISI Library, Kolkata
050 #4 -
-- QA273.A1-274.9
050 #4 -
-- QA274-274.9
072 #7 -
-- PBT
-- bicssc
072 #7 -
-- MAT029000
-- bisacsh
072 #7 -
-- PBT
-- thema
072 #7 -
-- PBWL
-- thema
082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER
Classification number 519.2
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Marin, Jean-Michel.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Bayesian Core: A Practical Approach to Computational Bayesian Statistics
Medium [electronic resource] /
Statement of responsibility, etc by Jean-Michel Marin, Christian P. Robert.
942 ## - ADDED ENTRY ELEMENTS(KOHA)
Koha item type E-BOOKS
100 1# - MAIN ENTRY--PERSONAL NAME
-- author.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer New York,
Date of production, publication, distribution, manufacture 2007.
300 ## -
-- XIV, 258 p. 80 illus.
-- online resource.
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# -
-- Springer Texts in Statistics,
-- 1431-875X
505 0# -
-- User’s Manual -- Normal Models -- Regression and Variable Selection -- Generalized Linear Models -- Capture–Recapture Experiments -- Mixture Models -- Dynamic Models -- Image Analysis.
520 ## -
-- 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.
650 #0 -
-- Distribution (Probability theory.
650 #0 -
-- Mathematical statistics.
650 #0 -
-- Computer science.
650 #0 -
-- Computer simulation.
650 #0 -
-- Engineering.
650 #0 -
-- Computer science
-- Mathematics.
650 14 -
-- Probability Theory and Stochastic Processes.
-- http://scigraph.springernature.com/things/product-market-codes/M27004
650 24 -
-- Statistical Theory and Methods.
-- http://scigraph.springernature.com/things/product-market-codes/S11001
650 24 -
-- Probability and Statistics in Computer Science.
-- http://scigraph.springernature.com/things/product-market-codes/I17036
650 24 -
-- Simulation and Modeling.
-- http://scigraph.springernature.com/things/product-market-codes/I21025
650 24 -
-- Computational Intelligence.
-- http://scigraph.springernature.com/things/product-market-codes/T11014
650 24 -
-- Computational Mathematics and Numerical Analysis.
-- http://scigraph.springernature.com/things/product-market-codes/M1400X
700 1# -
-- Robert, Christian P.
-- author.
-- aut
-- http://id.loc.gov/vocabulary/relators/aut
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9781441922861
776 08 -
-- Printed edition:
-- 9780387515861
776 08 -
-- Printed edition:
-- 9780387389790
830 #0 -
-- Springer Texts in Statistics,
-- 1431-875X
856 40 -
-- https://doi.org/10.1007/978-0-387-38983-7
912 ## -
-- ZDB-2-SMA
950 ## -
-- Mathematics and Statistics (Springer-11649)

No items available.

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