Markov Chains and Invariant Probabilities

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= {~k’ k = 0, 1, … } with transition probability function (t.pJ.) P(x, B), i.e., P(x, B) := Prob (~k+1 E B I ~k = x) for each x E X, B E B, and k = 0,1, …. is said to be stable if there exists a probability measure (p.m.) /.l on B such that (*) VB EB. /.l(B) = Ix /.l(dx) P(x, B) If (*) holds then /.l is called an invariant p.m. for the Me ~. This book concerns discrete-time homogeneous Markov chains that admit an invariant probability measure. The main objective is to give a…

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Description

= {~k’ k = 0, 1, … } with transition probability function (t.pJ.) P(x, B), i.e., P(x, B) := Prob (~k+1 E B I ~k = x) for each x E X, B E B, and k = 0,1, …. is said to be stable if there exists a probability measure (p.m.) /.l on B such that (*) VB EB. /.l(B) = Ix /.l(dx) P(x, B) If (*) holds then /.l is called an invariant p.m. for the Me ~.

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.

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.

Langue
en
Version
Couverture rigide
Date de sortie initiale
24 février 2003
Nombre de pages
228
Illustrations
Non

Personnes impliquées

Auteur principal

Onesimo Hernandez-Lerma

Deuxième auteur

Jean B. Lasserre

Coauteur

Jean B. Lasserre

Editeur principal

Springer Basel

Informations sur le fabricant

Nom du fabricant
Springer Nature Customer Service Center GmbH
Adresse du fabricant
Europaplatz 3 | 69115| Heidelberg| DE
Adresse électronique du fabricant
ProductSafety@springernature.com
Informations sur le fabricant
Les informations du fabricant ne sont actuellement pas disponibles

Autres spécifications

Hauteur de l’emballage
19 mm
Largeur d’emballage
165 mm
Largeur du produit
155 mm
Livre d‘étude
Non
Longueur d’emballage
241 mm
Longueur du produit
235 mm
Poids de l’emballage
517 g
Police de caractères extra large
Non
Édition
2003 ed.

EAN

EAN
9783764370008

Sécurité des produits

Opérateur économique responsable dans l’UE

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Catégories

Science et nature

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Processus stochastique

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Disponibilité

Disponible à l’adresse suivante

Langue

Anglais

Type de livre

Hardcover

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