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Markov Renewal and Piecewise Deterministic Processes

This book is aimed at researchers, graduate students and engineers who would like to be initiated to Piecewise Deterministic Markov;

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Statistical Inference for Piecewise-deterministic Markov Processes

-deterministic Markov processes offers a detailed and comprehensive survey of state-of-the-art results. It covers a wide range of general processes as;

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Statistical Topics and Stochastic Models for Dependent Data with Applications

, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes;

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Piecewise Deterministic Processes in Biological Models

types of PDMPs appear: continuous time Markov chains, deterministic processes with jumps, processes with switching dynamics, and point processes;

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Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes

Mark H.A. Davis introduced the Piecewise-Deterministic Markov Process (PDMP) class of stochastic hybrid models in an article in 1984. Today;

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Mathematical Modeling of Random and Deterministic Phenomena

This book highlights mathematical research interests that appear in real life, such as the study and modeling of random and deterministic;

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General Irreducible Markov Chains and Non-Negative Operators

, storage theory, autoregressive processes and renewal theory. The book will therefore be useful to researchers in the theory and applications;

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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 Models & Optimization

. This approach is based on the use of a family of Markov processes called Piecewise-Deterministic Processes (PDPs) as a general class;

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Structured Stochastic Matrices of M/G/1 Type and Their Applications

This book deals with Markov chains and Markov renewal processes (M/G/1 type). It discusses numerical difficulties which are apparently;

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Stochastic Processes

process, and the Markov renewal process. Many examples are cited from reliability models to show the reader how to apply stochastic processes;

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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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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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An Introduction to Stochastic Processes

and continuous-time Markov chains, Markov renewal and semi-regenerative processes, and Brownian motion and other diffusion processes. Each;

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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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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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Introduction to Stochastic Models

as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their;

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Generated Dynamics of Markov and Quantum Processes

This book presents Markov and quantum processes as two sides of a coin called generated stochastic processes. It deals with quantum;

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Modeling, Analysis, Design and Control of Stochastic Systems

covers the transient and long term behaviour, cost models, and first passage times; under generalised Markov models, it covers renewal processes;

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Markov Processes

continuous and jump Markov processes in a way that should appeal especially to physicists and chemists at the senior and graduate level.A;

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Stochastic Processes

Most introductory textbooks on stochastic processes which cover standard topics such as Poisson process, Brownian motion, renewal theory;

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Sequential Change Detection and Hypothesis Testing

, renewal and nonlinear renewal theories, Markov renewal theory, and uniform ergodicity of Markov processes. Key features: Design;

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Sequential Change Detection and Hypothesis Testing

, renewal and nonlinear renewal theories, Markov renewal theory, and uniform ergodicity of Markov processes. Key features;

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Applied Stochastic Processes

Markovian processes, Markov Chains, Poisson processes, Brownian motion and queueing theory. The book also examines in detail special diffusion;

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Information Technologies and Mathematical Modelling. Queueing Theory and Applications

, stochastic processes, Markov processes, renewal theory, network performance equation and network protocols.;

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