Local limit theorems for inhomogeneous Markov chains:

This book extends the local central limit theorem to inhomogeneous Markov chains whose state spaces and transition probabilities are allowed to change in time. Such chains are used to model Markovian systems depending on external time-dependent parameters. It develops a new general theory of local l...

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Hauptverfasser: Dolgopyat, Dmitry 1972- (VerfasserIn), Sarig, Omri M. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Cham, Switzerland Springer 2023
Schriftenreihe:Lecture notes in mathematics Volume 2331
Schlagworte:
Zusammenfassung:This book extends the local central limit theorem to inhomogeneous Markov chains whose state spaces and transition probabilities are allowed to change in time. Such chains are used to model Markovian systems depending on external time-dependent parameters. It develops a new general theory of local limit theorems for additive functionals of Markov chains, in the regimes of local, moderate, and large deviations, and provides nearly optimal conditions for the classical expansions, as well as asymptotic corrections when these conditions fail. Applications include local limit theorems for independent but not identically distributed random variables, Markov chains in random environments, and time-dependent perturbations of homogeneous Markov chains. The inclusion of numerous examples, a comprehensive review of the literature, and an account of the historical background of the subject make this self-contained book accessible to graduate students. It will also be useful for researchers in probability and ergodic theory who are interested in asymptotic behaviors, random walks in random environments, random dynamical systems and non-stationary systems
Beschreibung:Includes bibliographical references (pages 327-335) and index
Beschreibung:xiii, 340 Seiten Diagramme 24 cm
ISBN:3031326008
9783031326004

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