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Selected Topics on Continuous-Time Controlled Markov Chains and Markov Games

This book concerns continuous-time controlled Markov chains, also known as continuous-time Markov decision processes. They form a class;

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Continuous-Time Markov Decision Processes

This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory and possible;

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Continuous-Time Markov Decision Processes

This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory and possible;

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Markov Processes and Applications

include: * The Monte Carlo method, discrete time Markov chains, the Poisson process and continuous time jump Markov processes.* An introduction to;

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Markov Processes

background for continuous Markov processes with exponential random variables and Poisson processes. It presents continuous Markov processes which;

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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

. The chapter then covers the basic theories and algorithms for hidden Markov models (HMMs) and Markov decision processes (MDPs). Chapter 2;

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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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Time-Like Graphical Models

The author studies continuous processes indexed by a special family of graphs. Processes indexed by vertices of graphs are known as;

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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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First Look At Stochastic Processes, A

martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and;

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First Look At Stochastic Processes, A

martingales. The final chapter provides a brief introduction to Brownian motion, Markov processes in continuous time and space, Poisson processes, and;

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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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Markov Decision Processes

Examines several fundamentals concerning the manner in which Markov decision problems may be properly formulated and the determination;

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A First Course in Probability and Markov Chains

with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory;

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Labelled Markov Processes

Labelled Markov processes are probabilistic versions of labelled transition systems with continuous state spaces. The book covers basic;

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Competitive Markov Decision Processes

This book is intended as a text covering the central concepts and techniques of Competitive Markov Decision Processes. It is an attempt to;

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Competitive Markov Decision Processes

This book is intended as a text covering the central concepts and techniques of Competitive Markov Decision Processes. It is an attempt to;

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Markov Chains

Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random;

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Handbook of Markov Decision Processes

Eugene A. Feinberg Adam Shwartz This volume deals with the theory of Markov Decision Processes (MDPs) and their applications. Each chapter;

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Handbook of Markov Decision Processes

Eugene A. Feinberg Adam Shwartz This volume deals with the theory of Markov Decision Processes (MDPs) and their applications. Each chapter;

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Applied Probability Models with Optimization Applications

renewal theory and Markov chains; semi-Markov, Markov renewal, and regenerative processes; inventory theory; and Brownian motion and continuous;

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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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American-Type Options

The book gives a systematical presentation of stochastic approximation methods for discrete time Markov price processes. Advanced methods;

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