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عنوان
Bayesian inference for stochastic processes /

پدید آورنده
Lyle D. Broemeling.

موضوع
Bayesian statistical decision theory.,Probabilities.,Stochastic processes.,Bayesian statistical decision theory.,MATHEMATICS-- Applied.,MATHEMATICS-- Probability & Statistics-- General.,Probabilities.,Stochastic processes.

رده
QA273

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1315303566
(Number (ISBN
1315303574
(Number (ISBN
1315303582
(Number (ISBN
1315303590
(Number (ISBN
9781315303567
(Number (ISBN
9781315303574
(Number (ISBN
9781315303581
(Number (ISBN
9781315303598
Erroneous ISBN
1138196134
Erroneous ISBN
9781138196131

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Bayesian inference for stochastic processes /
General Material Designation
[Book]
First Statement of Responsibility
Lyle D. Broemeling.

EDITION STATEMENT

Edition Statement
First edition.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boca Raton, FL :
Name of Publisher, Distributor, etc.
CRC Press,
Date of Publication, Distribution, etc.
[2018]
Date of Publication, Distribution, etc.
©2018

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (xv, 432 pages)

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
Introduction to Bayesian inference for stochastic processes -- Bayesian analysis -- Introduction to stochastic processes -- Bayesian inference for discrete Markov chains -- Examples of Markov chains in biology -- Inferences for Markov chains in continuous time -- Bayesian inference: examples of continuous-time Markov chains -- Bayesian inferences for normal processes -- Queues and time series.
0

SUMMARY OR ABSTRACT

Text of Note
"The book aims to introduce Bayesian inference methods for stochastic processes. The Bayesian approach has advantages compared to non-Bayesian, among which is the optimal use of prior information via data from previous similar experiments. Examples from biology, economics, and astronomy reinforce the basic concepts of the subject. R and WinBUGS."--Provided by publisher.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Ingram Content Group
Stock Number
9781315303574

OTHER EDITION IN ANOTHER MEDIUM

Title
Bayesian Inference for Stochastic Processes.
International Standard Book Number
9781138196131

TOPICAL NAME USED AS SUBJECT

Bayesian statistical decision theory.
Probabilities.
Stochastic processes.
Bayesian statistical decision theory.
MATHEMATICS-- Applied.
MATHEMATICS-- Probability & Statistics-- General.
Probabilities.
Stochastic processes.

(SUBJECT CATEGORY (Provisional

MAT-- 003000
MAT-- 029000
MAT-- 029010

DEWEY DECIMAL CLASSIFICATION

Number
519
.
22
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA273

PERSONAL NAME - PRIMARY RESPONSIBILITY

Broemeling, Lyle D.

ORIGINATING SOURCE

Date of Transaction
20200822161233.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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