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Ergodic Behavior of Markov Processes

The general topic of this book is the ergodic behavior of Markov processes. A detailed introduction to methods for proving ergodicity and;

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Encyclopedia of Mathematics and its Applications

comprehensive treatment of ergodic control, a problem that straddles stochastic control and the ergodic theory of Markov processes. The interplay;

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Finite Markov Processes and Their Applications

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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Asymptotic Properties of Permanental Sequences

Markov chains. The authors study alpha-permanental processes that are positive infinitely divisible processes determined by the potential;

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Markov Processes for Stochastic Modeling

of success, by Markov chains are vast and are still expanding. The aim of this book is a discussion of the time-dependent behavior, called the;

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Combinatorial Constructions in Ergodic Theory and Dynamics

behavior) can be well described as a limit of certain finite objects (periodic processes). The first part of this book develops this idea;

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Markov Processes, Feller Semigroups And Evolution Equations

The book provides a systemic treatment of time-dependent strong Markov processes with values in a Polish space. It describes its generators;

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Markov Processes for Stochastic Modeling

Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state;

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Topics in Dynamics and Ergodic Theory

This book contains a collection of survey papers by leading researchers in ergodic theory, low-dimensional and topological dynamics and it;

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Probability and Random Processes

courses in mathematics, statistics, and science. It ends with material usually found at graduate level, for example, Markov processes, (including;

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Probability & Random Processes

courses in mathematics, statistics, and science. It ends with material usually found at graduate level, for example, Markov processes, (including;

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Markov Processes

Clear, rigorous, and intuitive, Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic;

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Operator Theoretic Aspects of Ergodic Theory

Stunning recent results by Host-Kra, Green-Tao, and others, highlight the timeliness of this systematic introduction to classical ergodic;

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Markov Chains and Decision Processes for Engineers and Managers

service systems. However, most books on Markov chains or decision processes are often either highly theoretical, with few examples, or highly;

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Markov Chains and Decision Processes for Engineers and Managers

service systems. However, most books on Markov chains or decision processes are often either highly theoretical, with few examples, or highly;

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Markov Processes and Applications

illustrated in illuminating examples. This book will be extremely useful to anybody teaching a course on Markov processes. Jean-Francois Le Gall;

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Quantum Stochastics

, quantum Markov semigroups and processes, and large-time asymptotic behavior of quantum Markov semigroups.;

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Semi-Dirichlet Forms and Markov Processes

This book deals with analytic treatments of Markov processes. Symmetric Dirichlet forms and their associated Markov processes are important;

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Statistical Inference for Piecewise-deterministic Markov Processes

Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance;

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Markov-modulated Processes And Semiregenerative Phenomena

The book presents a coherent treatment of Markov random walks and Markov additive processes together with their applications. Part I;

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Ergodic Theory and Dynamical Systems in their Interactions with Arithmetics and

part begins with a course in analytic number theory and focuses on its links with ergodic theory, presenting an exhaustive account of recent;

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Topics in the Constructive Theory of Countable Markov Chains

present book is to provide methods, based on the construction of Lyapunov functions, of determining when a Markov chain is ergodic, null recurrent;

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Topics in the Constructive Theory of Countable Markov Chains

present book is to provide methods, based on the construction of Lyapunov functions, of determining when a Markov chain is ergodic, null recurrent;

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Markov Renewal and Piecewise Deterministic Processes

deterministic functions of CSMPs (Completed Semi-Markov Processes), i.e. semi-Markov processes completed to become Markov processes. This remark leads;

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Statistical Topics and Stochastic Models for Dependent Data with Applications

corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov;

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Boundary Value Problems and Markov Processes: Functional Analysis Methods for Markov Processes

processes. It brings these three fields of analysis together, providing a comprehensive study of Markov processes from a broad perspective. The;

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