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The Ergodic Theory Of Markov Processes


The Ergodic Theory Of Markov Processes
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The Ergodic Theory Of Markov Processes


The Ergodic Theory Of Markov Processes
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Author : Shaul R. Foguel
language : en
Publisher:
Release Date : 1969

The Ergodic Theory Of Markov Processes written by Shaul R. Foguel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Ergodic theory categories.




Ergodic Behavior Of Markov Processes


Ergodic Behavior Of Markov Processes
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Author : Alexei Kulik
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2017-11-20

Ergodic Behavior Of Markov Processes written by Alexei Kulik and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-20 with Mathematics categories.


The general topic of this book is the ergodic behavior of Markov processes. A detailed introduction to methods for proving ergodicity and upper bounds for ergodic rates is presented in the first part of the book, with the focus put on weak ergodic rates, typical for Markov systems with complicated structure. The second part is devoted to the application of these methods to limit theorems for functionals of Markov processes. The book is aimed at a wide audience with a background in probability and measure theory. Some knowledge of stochastic processes and stochastic differential equations helps in a deeper understanding of specific examples. Contents Part I: Ergodic Rates for Markov Chains and Processes Markov Chains with Discrete State Spaces General Markov Chains: Ergodicity in Total Variation MarkovProcesseswithContinuousTime Weak Ergodic Rates Part II: Limit Theorems The Law of Large Numbers and the Central Limit Theorem Functional Limit Theorems



The Theory Of Stochastic Processes Ii


The Theory Of Stochastic Processes Ii
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Author : I.I. Gikhman
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-03-22

The Theory Of Stochastic Processes Ii written by I.I. Gikhman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-03-22 with Mathematics categories.


From the Reviews: "To call this work encyclopedic would not give an accurate picture of its content and style. Some parts read like a textbook, but others are more technical and contain relatively new results. ... The exposition is robust and explicit, as one has come to expect of the Russian tradition of mathematical writing." --K.L. Chung, American Scientist, 1977



A Note On Foguel S The Ergodic Theory Of Markov Processes


A Note On Foguel S The Ergodic Theory Of Markov Processes
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Author : Heikki Bonsdorff
language : en
Publisher:
Release Date : 1981

A Note On Foguel S The Ergodic Theory Of Markov Processes written by Heikki Bonsdorff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with categories.




Eigenvalues Inequalities And Ergodic Theory


Eigenvalues Inequalities And Ergodic Theory
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Author : Mu-Fa Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-30

Eigenvalues Inequalities And Ergodic Theory written by Mu-Fa Chen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-30 with Mathematics categories.


The first and only book to make this research available in the West Concise and accessible: proofs and other technical matters are kept to a minimum to help the non-specialist Each chapter is self-contained to make the book easy-to-use



Ergodicity Of Markov Processes Via Nonstandard Analysis


Ergodicity Of Markov Processes Via Nonstandard Analysis
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Author : Haosui Duanmu
language : en
Publisher: American Mathematical Society
Release Date : 2021-12-09

Ergodicity Of Markov Processes Via Nonstandard Analysis written by Haosui Duanmu and has been published by American Mathematical Society this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-09 with Mathematics categories.


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Cycle Representations Of Markov Processes


Cycle Representations Of Markov Processes
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Author : Sophia L. Kalpazidou
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Cycle Representations Of Markov Processes written by Sophia L. Kalpazidou and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Mathematics categories.


This book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of a class of stochastic processes known as cycle (or circuit) processes - so-called because they may be defined by directed cycles. An important application of this approach is the insight it provides to electrical networks and the duality principle of networks. This expanded second edition adds new advances, which reveal wide-ranging interpretations of cycle representations such as homologic decompositions, orthogonality equations, Fourier series, semigroup equations, and disintegration of measures. The text includes chapter summaries as well as a number of detailed illustrations.



The Ergodic Theory Of Discrete Sample Paths


The Ergodic Theory Of Discrete Sample Paths
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Author : Paul C. Shields
language : en
Publisher: American Mathematical Soc.
Release Date : 1996

The Ergodic Theory Of Discrete Sample Paths written by Paul C. Shields and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Mathematics categories.


This book is about finite-alphabet stationary processes, which are important in physics, engineering, and data compression. The focus is on the combinatorial properties of typical finite sample paths drawn from a stationary, ergodic process. A primary goal, only partially realized, is to develop a theory based directly on sample path arguments with minimal appeals to the probability formalism. A secondary goal is to give a careful presentation of the many models for stationary finite-alphabet processes that have been developed in probability theory, ergodic theory, and information theory.



The Theory Of Stochastic Processes


The Theory Of Stochastic Processes
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Author : D.R. Cox
language : en
Publisher: Routledge
Release Date : 2017-09-04

The Theory Of Stochastic Processes written by D.R. Cox and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-04 with Mathematics categories.


This book should be of interest to undergraduate and postgraduate students of probability theory.



Finite Markov Processes And Their Applications


Finite Markov Processes And Their Applications
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Author : Marius Iosifescu
language : en
Publisher: Courier Corporation
Release Date : 2014-07-01

Finite Markov Processes And Their Applications written by Marius Iosifescu and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-01 with Mathematics categories.


A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu, vice president of the Romanian Academy and director of its Center for Mathematical Statistics, begins with a review of relevant aspects of probability theory and linear algebra. Experienced readers may start with the second chapter, a treatment of fundamental concepts of homogeneous finite Markov chain theory that offers examples of applicable models. The text advances to studies of two basic types of homogeneous finite Markov chains: absorbing and ergodic chains. A complete study of the general properties of homogeneous chains follows. Succeeding chapters examine the fundamental role of homogeneous infinite Markov chains in mathematical modeling employed in the fields of psychology and genetics; the basics of nonhomogeneous finite Markov chain theory; and a study of Markovian dependence in continuous time, which constitutes an elementary introduction to the study of continuous parameter stochastic processes.