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عنوان
Objective Bayesian inference

پدید آورنده
James O. Berger, Jose M. Bernardo, Dongchu Sun.,Berger, James O.,

موضوع
Bayesian statistical decision theory.

رده

کتابخانه
Library of College of Science University of Tehran

محل استقرار
استان: Tehran ـ شهر: Tehran

Library of College of Science University of Tehran

تماس با کتابخانه : 61112616-66495290-021

INTERNATIONAL STANDARD BOOK NUMBER

Qualification
(eISBN)
(Number (ISBN
9789811284915

NATIONAL BIBLIOGRAPHY NUMBER

Number
E4563

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Objective Bayesian inference
General Material Designation
[electronic resources: book]
First Statement of Responsibility
James O. Berger, Jose M. Bernardo, Dongchu Sun.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Hackensack, NJ
Name of Publisher, Distributor, etc.
World Scientific
Date of Publication, Distribution, etc.
2024.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource.

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references (pages 293-347) and index.

SUMMARY OR ABSTRACT

Text of Note
"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"--

TYPE OF ELECTRONIC RESOURCE NOTE

Text of Note
PDF file.

TOPICAL NAME USED AS SUBJECT

Entry Element
Bayesian statistical decision theory.

DEWEY DECIMAL CLASSIFICATION

Edition
23/eng/20240223

PERSONAL NAME - PRIMARY RESPONSIBILITY

Entry Element
Berger, James O.,

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Bernardo, J. M.,
Sun, Dongchu,

ORIGINATING SOURCE

Country
Iran
Agency
University of Tehran. Library of College of Science
Date of Transaction
20240725094714.0
Cataloguing Rules (Descriptive Conventions))
rda

ELECTRONIC LOCATION AND ACCESS

Date and Hour of Consultation and Access
UT_SCI_BL_DB_1004985_0001.pdf

e

BL
278840

a
Y

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