INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781461486879
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
IR
Number
EN-50029
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
COUNTRY OF PUBLICATION OR PRODUCTlON
Country of publication
IR
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Bayesian Essentials with
General Material Designation
[Book]
First Statement of Responsibility
/ electronic resource
EDITION STATEMENT
Edition Statement
2. ed. 2014.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, NY
Name of Publisher, Distributor, etc.
: Springer New York :Imprint: Springer,
Date of Publication, Distribution, etc.
, 2014.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
XIV, 296 s. 75 illus., 38 illus. in color. , online resource..
SERIES
Series Title
(Springer Texts in Statistics,1431-875X)
GENERAL NOTES
Text of Note
9781461486862.
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Print
CONTENTS NOTE
Text of Note
Summary: This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. The stakes are high and the reader determines the outcome. 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. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. This works in conjunction with the bayess package. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels, as exemplified by courses given at Universite Paris Dauphine (France), University of Canterbury (New Zealand), and University of British Columbia (Canada). It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics. A strength of the text is the noteworthy emphasis on the role of models in statistical analysis. This is the new, fully-revised edition to the book Bayesian Core: A Practical Approach to Computational Bayesian Statistics.a.
Text of Note
User's Manual -- Normal Models -- Regression and Variable Selection -- Generalized Linear Models -- Capture-Recapture Experiments -- Mixture Models -- Time Series -- Image Analysis -- References -- Index.
SERIES
Title
Springer Texts in Statistics,1431-875X
TOPICAL NAME USED AS SUBJECT
Statistics
Mathematical statistics
Statistics
Statistics and Computing/Statistics Programs
Statistical Theory and Methods
LIBRARY OF CONGRESS CLASSIFICATION
Class number
E-BOOK
PERSONAL NAME - PRIMARY RESPONSIBILITY
Marin, Jean-Michel.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Robert, Christian P
SpringerLink (Online service)
ORIGINATING SOURCE
Country
ایران
ELECTRONIC LOCATION AND ACCESS
Host name
9781461486862.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9781461486862.pdf
Electronic Format Type
متن
old catalog
p
BL
1
a
Y
