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Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)

Dirichlet spaces, and the important roles such advances play in the boundary theory of symmetric Markov processes. This volume is an ideal resource;

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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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Asymptotic Properties of Permanental Sequences

sequences related to birth and death processes and autoregressive Gaussian sequences using techniques from the theory of Gaussian processes and;

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Dirichlet Forms and Symmetric Markov Processes

is unified with the probabilistic potential theory based on symmetric Markov processes and developed further in conjunction with the stochastic;

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

powerful method for future research in elliptic boundary value problems and Markov processes via semigroups, the Boutet de Monvel calculus. A broad;

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Markov Processes and Applications

This well-written book provides a clear and accessible treatment of the theory of discrete and continuous-time Markov chains, with an;

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Boundary Value Problems and Markov Processes

ti?cResearch(No.19540162),MinistryofEducation,Culture,Sports,Science and Technology, Japan.;

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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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First Look At Stochastic Processes, A

times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.The focus is always on making the theory as;

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First Look At Stochastic Processes, A

times, branching processes, stock option pricing, and Markov Chain Monte Carlo (MCMC) algorithms.The focus is always on making the theory as;

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Stochastic Modeling

Markov chains, Poisson processes, and continuous-time Markov chains. The theory developed is illustrated by a variety of examples surrounding;

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Semi-Markov Processes

Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time;

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Markov Chains

with some background in basic probability theory, focuses on Markov chains and quickly develops a coherent and rigorous theory whilst showing;

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Markov Processes and Potential Theory

This advanced text explores the relationship between Markov processes and potential theory, in addition to aspects of the theory;

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Elements Of Stochastic Modelling

of probability theory and then covers the following topics: Markov chains, Markov decision processes, jump Markov processes, elements of queueing theory;

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Controlled Markov Processes and Viscosity Solutions

This book is intended as an introduction to optimal stochastic control for continuous time Markov processes and to the theory of viscosity;

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Controlled Markov Processes and Viscosity Solutions

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It;

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Controlled Markov Processes and Viscosity Solutions

This book is an introduction to optimal stochastic control for continuous time Markov processes and the theory of viscosity solutions. It;

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Index theory in nonlinear analysis

conditions) and P-index theory (index theory for P-boundary conditions). In addition, the book introduces readers to recent advances in the study;

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Markov Operators, Positive Semigroups and Approximation Processes

operators, Markov semigroups and approximation processes. These mathematical objects are generated by arbitrary Markov operators acting on spaces;

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Quantum Stochastics

background is knowledge of the basic theory of Hilbert spaces, bounded linear operators, and classical Markov processes. From there, the book;

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Selecting and Implementing an LMS

Selecting and implementing the right LMS for your organization can help you stay on top of compliance requirements, improve workflow;

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Studies in the Theory of Random Processes

limit theorems for Markov processes. Specialists, researchers, and students in the field of probability will find it a source of important;

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Introduction to Hidden Semi-Markov Models

to the subject by first developing the theory of Markov processes in an elementary discrete time, finite state framework suitable for senior;

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Markov Chains

both discrete and continuous time Markov chains. The relationship between Markov chains of finite states and matrix theory will also be;

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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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An Introduction to Markov Processes

Provides a more accessible introduction than other books on Markov processes by emphasizing the structure of the subject and avoiding;

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