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عنوان
Markov Chains and Invariant Probabilities

پدید آورنده
by Onésimo Hernández-Lerma, Jean Bernard Lasserre.

موضوع
Distribution (Probability theory).,Mathematical physics.,Mathematics.

رده

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
9783034880244
(Number (ISBN
9783034894081

NATIONAL BIBLIOGRAPHY NUMBER

Number
b406200

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Markov Chains and Invariant Probabilities
General Material Designation
[Book]
First Statement of Responsibility
by Onésimo Hernández-Lerma, Jean Bernard Lasserre.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Basel :
Name of Publisher, Distributor, etc.
Imprint: Birkhäuser,
Date of Publication, Distribution, etc.
2003.

SERIES

Series Title
Progress in Mathematics ;
Volume Designation
211

CONTENTS NOTE

Text of Note
1 Preliminaries -- 1.1 Introduction -- 1.2 Measures and Functions -- 1.3 Weak Topologies -- 1.4 Convergence of Measures -- 1.5 Complements -- 1.6 Notes -- I Markov Chains and Ergodicity -- 2 Markov Chains and Ergodic Theorems -- 3 Countable Markov Chains -- 4 Harris Markov Chains -- 5 Markov Chains in Metric Spaces -- 6 Classification of Markov Chains via Occupation Measures -- II Further Ergodicity Properties -- 7 Feller Markov Chains -- 8 The Poisson Equation -- 9 Strong and Uniform Ergodicity -- III Existence and Approximation of Invariant Probability Measures -- 10 Existence of Invariant Probability Measures -- 11 Existence and Uniqueness of Fixed Points for Markov Operators -- 12 Approximation Procedures for Invariant Probability Measures.
0

SUMMARY OR ABSTRACT

Text of Note
This book concerns discrete-time homogeneous Markov chains that admit an invariant probability measure. The main objective is to give a systematic, self-contained presentation on some key issues about the ergodic behavior of that class of Markov chains. These issues include, in particular, the various types of convergence of expected and pathwise occupation measures, and ergodic decompositions of the state space. Some of the results presented appear for the first time in book form. A distinguishing feature of the book is the emphasis on the role of expected occupation measures to study the long-run behavior of Markov chains on uncountable spaces. The intended audience are graduate students and researchers in theoretical and applied probability, operations research, engineering and economics.

OTHER EDITION IN ANOTHER MEDIUM

International Standard Book Number
9783034894081

PIECE

Title
Springer eBooks

TOPICAL NAME USED AS SUBJECT

Distribution (Probability theory).
Mathematical physics.
Mathematics.

PERSONAL NAME - PRIMARY RESPONSIBILITY

Hernández-Lerma, O., (Onésimo)

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Lasserre, Jean Bernard.

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

SpringerLink (Online service)

ORIGINATING SOURCE

Date of Transaction
20190307155300.0

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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