Objective Bayesian Inference (Record no. 1432841)

MARC details
000 -LEADER
fixed length control field 02593nam a2200253 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625103920.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250623b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811284908
040 ## - CATALOGING SOURCE
Original cataloging agency CSL
Transcribing agency CSL
041 ## - LANGUAGE CODE
Source of code eng
Language code of text/sound track or separate title eng
084 ## - COLON CLASSIFICATION NUMBER
Classification number B2871 R4
Assigning agency CSL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Berger, James O
Relator term Author
9 (RLIN) 814337
245 ## - TITLE STATEMENT
Title Objective Bayesian Inference
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Jersey :
Name of publisher, distributor, etc. world scientific,
Date of publication, distribution, etc. 2024.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 364 p.
Other physical details : ill.
Dimensions ; 25 cm.
500 ## - GENERAL NOTE
General note Includes biography, author index and Index
520 ## - SUMMARY, ETC.
Summary, etc. Bayesian analysis is today understood to be an extremely powerful method of statistical analysis, as well an approach to statistics that is particularly transparent and intuitive. It is thus being extensively and increasingly utilized in virtually every area of science and society that involves analysis of data.A widespread misconception is that Bayesian analysis is a more subjective theory of statistical inference than what is now called classical statistics. This is true neither historically nor in practice. Indeed, objective Bayesian analysis dominated the statistical landscape from roughly 1780 to 1930, long before 'classical' statistics or subjective Bayesian analysis were developed. It has been a subject of intense interest to a multitude of statisticians, mathematicians, philosophers, and scientists. The book, while primarily focusing on the latest and most prominent objective Bayesian methodology, does present much of this fascinating history.The book is written for four different audiences. First, it provides an introduction to objective Bayesian inference for non-statisticians; no previous exposure to Bayesian analysis is needed. Second, the book provides an overview of the development and current state of objective Bayesian analysis and its relationship to other statistical approaches, for those with interest in the philosophy of learning from data. Third, the book presents a careful development of the particular objective Bayesian approach that we recommend, the reference prior approach. Finally, the book presents as much practical objective Bayesian methodology as possible for statisticians and scientists primarily interested in practical applications.<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bayesian statistical decision theory
9 (RLIN) 814338
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Models with special structures
9 (RLIN) 814339
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element overall objective priors
9 (RLIN) 814340
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name M Bernardo, Jose
Relator term Co-Author
9 (RLIN) 814341
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Sun, Dongchu
Relator term Co-Author
9 (RLIN) 814342
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Koha item type Textual
Classification part B2871 R4
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Central Science Library Central Science Library 2024-10-22 Classic Book Service   B2871 R4 SL1655932 2025-06-23 2025-06-23 Textual
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