Markov Chains - Couverture rigide

Livre 35 sur 43: Springer Series in Operations Research and Financial Engineering

Douc, Randal ; Moulines, Eric ; Priouret, Pierre ; Soulier, Philippe

Couverture rigide

ISBN 10 : 3319977032 ISBN 13 : 9783319977034

Editeur : Springer International Publishing AG, 2019

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This book covers the classical theory of Markov chains on general state-spaces as well as many recent developments. The theoretical results are illustrated by simple examples, many of which are taken from Markov Chain Monte Carlo methods. The book is self-contained, while all the results are carefully and concisely proven. Bibliographical notes are added at the end of each chapter to provide an overview of the literature.

Part I lays the foundations of the theory of Markov chain on general states-space. Part II covers the basic theory of irreducible Markov chains on general states-space, relying heavily on regeneration techniques. These two parts can serve as a text on general state-space applied Markov chain theory. Although the choice of topics is quite different from what is usually covered, where most of the emphasis is put on countable state space, a graduate student should be able to read almost all these developments without any mathematical background deeperthan that needed to study countable state space (very little measure theory is required).

Part III covers advanced topics on the theory of irreducible Markov chains. The emphasis is on geometric and subgeometric convergence rates and also on computable bounds. Some results appeared for a first time in a book and others are original. Part IV are selected topics on Markov chains, covering mostly hot recent developments.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l?auteur

Randal Douc is a Professor in the CITI Department at Telecom SudParis. His research interests include parameter estimation in general Hidden Markov models and Markov Chain Monte Carlo (MCMC) and sequential Monte Carlo methods.
Eric Moulines is a Professor at Ecole Polytechnique's Applied Mathematics Center (CMAP, UMR Ecole Polytechnique/CNRS).
Pierre Priouret is a Professor at Universit� Pierre et Marie Curie
Philippe Soulier is a professor at Universit� de Paris-Nanterre

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2019
Langue: anglais
ISBN 10: 3319977032
ISBN 13: 9783319977034
Reliure: Reli�
Nombre de pages: 775
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
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Allemagne

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Markov Chains (eng)

Douc, Randal

Edit� par Springer, 2019

ISBN 10 : 3319977032 ISBN 13 : 9783319977034

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Markov Chains

Randal Douc

Edit� par Springer, Springer Jan 2019, 2019

ISBN 10 : 3319977032 ISBN 13 : 9783319977034

Neuf Couverture rigide

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers the classical theory of Markov chains on general state-spaces as well as many recent developments. The theoretical results are illustrated by simple examples, many of which are taken from Markov Chain Monte Carlo methods. The book is self-contained, while all the results are carefully and concisely proven. Bibliographical notes are added at the end of each chapter to provide an overview of the literature. Part I lays the foundations of the theory of Markov chain on general states-space. Part II covers the basic theory of irreducible Markov chains on general states-space, relying heavily on regeneration techniques. These two parts can serve as a text on general state-space applied Markov chain theory. Although the choice of topics is quite different from what is usually covered, where most of the emphasis is put on countable state space, a graduate student should be able to read almost all these developments without any mathematical background deeperthan that needed to study countable state space (very little measure theory is required). Part IIIcovers advanced topics on the theory of irreducible Markov chains. The emphasis is on geometric and subgeometric convergence rates and also on computable bounds. Some results appeared for a first time in a book and others are original. Part IV are selected topics on Markov chains, covering mostly hot recent developments. 776 pp. Englisch. N� de r�f. du vendeur 9783319977034

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Markov Chains

Douc, Randal (Author)/ Moulines, Eric (Author)/ Priouret, Pierre (Author)/ Soulier, Philippe (Author)

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ISBN 10 : 3319977032 ISBN 13 : 9783319977034

Neuf Couverture rigide

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Hardcover. Etat : Brand New. 757 pages. 9.25x6.25x1.75 inches. In Stock. N� de r�f. du vendeur __3319977032

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Markov Chains

Randal Douc|Eric Moulines|Pierre Priouret|Philippe Soulier

Edit� par Springer International Publishing, 2019

ISBN 10 : 3319977032 ISBN 13 : 9783319977034

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Gebunden. Etat : New. Includes many results which are published for the first time in a textbookMany results are illustrated with simple examplesProvides an accessible presentation of important ergodicity results of general state Mar. N� de r�f. du vendeur 231993957

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Douc, Randal; Moulines, Eric; Priouret, Pierre; Soulier, Philippe

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ISBN 10 : 3319977032 ISBN 13 : 9783319977034

Neuf Couverture rigide

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Markov Chains

Randal Douc (u. a.)

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ISBN 10 : 3319977032 ISBN 13 : 9783319977034

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Markov Chains

Randal Douc

Edit� par Springer, Springer Jan 2019, 2019

ISBN 10 : 3319977032 ISBN 13 : 9783319977034

Neuf Couverture rigide

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers the classical theory of Markov chains on general state-spaces as well as many recent developments. The theoretical results are illustrated by simple examples, many of which are taken from Markov Chain Monte Carlo methods. The book is self-contained, while all the results are carefully and concisely proven. Bibliographical notes are added at the end of each chapter to provide an overview of the literature.Part I lays the foundations of the theory of Markov chain on general states-space. Part II covers the basic theory of irreducible Markov chains on general states-space, relying heavily on regeneration techniques. These two parts can serve as a text on general state-space applied Markov chain theory. Although the choice of topics is quite different from what is usually covered, where most of the emphasis is put on countable state space, a graduate student should be able to read almost all these developments without any mathematical background deeperthan that needed to study countable state space (very little measure theory is required).Part III covers advanced topics on the theory of irreducible Markov chains. The emphasis is on geometric and subgeometric convergence rates and also on computable bounds. Some results appeared for a first time in a book and others are original. Part IV are selected topics on Markov chains, covering mostly hot recent developments.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 776 pp. Englisch. N� de r�f. du vendeur 9783319977034

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