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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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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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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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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Numerical Methods in Markov Chains and Bulk Queues

Numerical Methods in Markov Chains and Bulk Queues is een boek van Tapan P. Bagchi;

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Approximate Quantum Markov Chains

This book is an introduction to quantum Markov chains and explains how this concept is connected to the question of how well a lost quantum;

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Markov Chains

A fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains;

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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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General Irreducible Markov Chains and Non-Negative Operators

The purpose of this book is to present the theory of general irreducible Markov chains and to point out the connection between this and the;

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Markov Chains

Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how;

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Markov Chains and Mixing Times

This book is an introduction to the modern approach to the theory of Markov chains. The main goal of this approach is to determine the rate;

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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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A First Course in Probability and Markov Chains

in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores;

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Markov Chains And Dependability Theory

, Markov models, describing both basic results and specialised techniques. The authors first present both discrete and continuous time Markov;

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Self-Learning Control of Finite Markov Chains

for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies;

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Self-Learning Control of Finite Markov Chains

for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies;

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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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Applications of Markov Chains in Chemical Engineering

Markov chains make it possible to predict the future state of a system from its present state ignoring its past history. Surprisingly;

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Introduction to the Numerical Solution of Markov Chains

A cornerstone of applied probability, Markov chains can be used to help model how plants grow, chemicals react, and atoms diffuse--and;

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Numerical Solution of Markov Chains

Papers presented at a workshop held January 1990 (location unspecified) cover just about all aspects of solving Markov models numerically.;

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Markov Processes for Stochastic Modeling

This book presents an algebraic development of the theory of countable state space Markov chains with discrete- and continuous-time;

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Markov Semigroups at Saint-Flour

, Laurent: Lectures on Finite Markov Chains.;

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Foundations of Average-Cost Nonhomogeneous Controlled Markov Chains

This Springer brief addresses the challenges encountered in the study of the optimization of time-nonhomogeneous Markov chains. It;

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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

This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatted as a text, complete with end;

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Martingales and Markov Chains

A thorough grounding in Markov chains and martingales is essential in dealing with many problems in applied probability, and is a gateway;

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