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Markov Chains on Metric Spaces (eBook, PDF)100%: Benaïm, Michel; Hurth, Tobias: Markov Chains on Metric Spaces (eBook, PDF) (ISBN: 9783031118227) Springer International Publishing, in Englisch, auch als eBook.
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Markov Chains on Metric Spaces52%: Michel Benaïm/ Tobias Hurth: Markov Chains on Metric Spaces (ISBN: 9783031118210) Springer Berlin, in Deutsch, Taschenbuch.
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Bester Preis: Fr. 43.93 ( 44.95)¹ (vom 30.11.2022)
1
9783031118227 - Markov Chains on Metric Spaces

Markov Chains on Metric Spaces

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN NW EB DL

ISBN: 9783031118227 bzw. 3031118227, in Englisch, neu, E-Book, elektronischer Download.

Fr. 56.91 (A$ 89.99)¹
versandkostenfrei, unverbindlich
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
This book gives an introduction to discrete-time Markov chains which evolve on a separable metric space.  The focus is on the ergodic properties of such chains, i.e., on their long-term statistical behaviour. Among the main topics are existence and uniqueness of invariant probability measures, irreducibility, recurrence, regularizing properties for Markov kernels, and convergence to equilibrium. These concepts are investigated with tools such as Lyapunov functions, petite and small sets, Doeblin and accessible points, coupling, as well as key notions from classical ergodic theory. The theory is illustrated through several recurring classes of examples, e.g., random contractions, randomly switched vector fields, and stochastic differential equations, the latter providing a bridge to continuous-time Markov processes.   The book can serve as the core for a semester- or year-long graduate course in probability theory with an emphasis on Markov chains or random dynamics. Some of the material is also well suited for an ergodic theory course. Readers should have taken an introductory course on probability theory, based on measure theory. While there is a chapter devoted to chains on a countable state space, a certain familiarity with Markov chains on a finite state space is also recommended.
2
9783031118227 - Benaïm, Michel; Hurth, Tobias: Markov Chains on Metric Spaces (eBook, PDF)
Benaïm, Michel; Hurth, Tobias

Markov Chains on Metric Spaces (eBook, PDF)

Lieferung erfolgt aus/von: Österreich ~EN NW EB

ISBN: 9783031118227 bzw. 3031118227, vermutlich in Englisch, Springer International Publishing, neu, E-Book.

Fr. 43.93 ( 44.95)¹
versandkostenfrei, unverbindlich
Lieferung aus: Österreich, Erscheint vor. 26.12.22, Versandkostenfrei innerhalb von Deutschland.
This book gives an introduction to discrete-time Markov chains which evolve on a separable metric space. The focus is on the ergodic properties of such chains, i.e., on their long-term statistical behaviour. Among the main topics are existence and uniqueness of invariant probability measures, irreducibility, recurrence, regularizing properties for Markov kernels, and convergence to equilibrium. These concepts are investigated with tools such as Lyapunov functions, petite and small sets, Doeblin and accessible points, coupling, as well as key notions from classical ergodic theory. The theory is illustrated through several recurring classes of examples, e.g., random contractions, randomly switched vector fields, and stochastic differential equations, the latter providing a bridge to continuous-time Markov processes. The book can serve as the core for a semester- or year-long graduate course in probability theory with an emphasis on Markov chains or random dynamics. Some of the material is also well suited for an ergodic theory course. Readers should have taken an introductory course on probability theory, based on measure theory. While there is a chapter devoted to chains on a countable state space, a certain familiarity with Markov chains on a finite state space is also recommended.
3
3031118219 - Michel Benaïm/ Tobias Hurth: Markov Chains on Metric Spaces
Michel Benaïm/ Tobias Hurth

Markov Chains on Metric Spaces

Lieferung erfolgt aus/von: Deutschland ~EN PB NW

ISBN: 3031118219 bzw. 9783031118210, vermutlich in Englisch, Springer Berlin, Taschenbuch, neu.

Fr. 57.66 ( 58.99)¹ + Versand: Fr. 7.33 ( 7.50)¹ = Fr. 64.99 ( 66.49)¹
unverbindlich
Markov Chains on Metric Spaces ab 58.99 € als Taschenbuch: A Short Course. 1st ed. 2022. Aus dem Bereich: Bücher, Wissenschaft, Mathematik,.
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3031118219 - Das persönliche Überleben des Todes, Bd. 2 von Emil Mattiesen

Das persönliche Überleben des Todes, Bd. 2 von Emil Mattiesen

Lieferung erfolgt aus/von: Deutschland ~DE NW

ISBN: 3031118219 bzw. 9783031118210, vermutlich in Deutsch, neu.

Fr. 48.86 ( 49.99)¹
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Lieferung aus: Deutschland, Lieferart: Free, Lieferung: Weltweit, Artikelstandort: 53332 Bornheim,Deutschland, Versandkostenfrei.
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