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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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Introduction to Hidden Semi-Markov Models

Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction;

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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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Markov Processes and Applications

, Professor at Universite de Paris-Orsay, France. Markov processes is the class of stochastic processes whose past and future are conditionally;

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Semi-Markov Processes

semi-Markov processes and their applications in reliability and maintenance. The bookexplains how to construct semi-Markov models and discusses;

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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 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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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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Distribution Theory Of Runs And Patterns And Its Applications

is to properly imbed the random variables of interest into the framework of a finite Markov chain, and the resulting representations of the;

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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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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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Hidden Markov Processes

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems;

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Finite Markov Chains and Algorithmic Applications

graduate students. The author first develops the necessary background in probability theory and Markov chains before applying it to study a range;

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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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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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Markov Chains and Decision Processes for Engineers and Managers

description of the construction and solution of Markov models that facilitates their application to diverse processes. Organized around Markov;

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Markov Chains and Decision Processes for Engineers and Managers

description of the construction and solution of Markov models that facilitates their application to diverse processes. Organized around Markov;

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Orthogonal Polynomials in the Spectral Analysis of Markov Processes

In pioneering work in the 1950s, S. Karlin and J. McGregor showed that probabilistic aspects of certain Markov processes can be studied by;

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Stochastic Processes & Filtering Theory

text models dynamical systems by finite-dimensional Markov processes, outputs of stochastic difference, and differential equations. Starting;

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Understanding Markov Chains

This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains and their applications, with a;

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Markov Random Flights

markets. Markov random flights acts as an effective tool for modelling the slow and super-slow diffusion processes arising in various fields;

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Solutions Manual to accompany Finite Mathematics

encourages the modeling of linear programs and their solutions and uses common computer software programs such as LINDO. In addition to extensive;

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Probability for Engineering, Mathematics, and Science, International Edition

, the text includes a self-contained chapter on finite Markov chains, which introduces the basic aspects of Markov chains and illustrates their;

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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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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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Pseudo Differential Operators And Markov Processes, Volume Iii

, the processes are jump processes and their relations to Levy processes are investigated. Special emphasis is given to the symbol of a process;

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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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