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Markov Chains And Dependability Theory

and dependability aspects of systems. This book presents the mathematical basis of the analysis of these metrics in the most used framework;

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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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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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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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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 Chains

author uses quantifiable examples to illustrate how probability theory arrived at the concept of discrete-time and the Markov model from;

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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 Semigroups at Saint-Flour

Bakry, Dominique: Hypercontractivity and its Usage in Semigroup Theory.- Ledoux, Michel: Isoperimetry and Gaussian Analysis.- Saloff-Coste;

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Dependability of Networked Computer based Systems

variety of dependability modeling methods: stochastic processes, Markov and semi-Markov models, response-time distribution, stochastic;

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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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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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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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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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Markov Chains and Mixing Times

prerequisite, the authors assume a modest understanding of probability theory and linear algebra at an undergraduate level. Markov Chains and Mixing;

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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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Dependability of Engineering Systems: A Markov Minimal Cut Approach

in-depth analysis demonstrates that it is only possible to precisely model and calculate the dependability of systems including s-dependent;

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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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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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Martingales and Markov Chains

exposition of the theory, Martingales and Markov Chains: Solved Exercises and Elements of Theory presents, more than 100 exercises related to;

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Martingales and Markov Chains

exposition of the theory, Martingales and Markov Chains: Solved Exercises and Elements of Theory presents, more than 100 exercises related to;

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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 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 Chains

spaces and their associated homogeneous Markov chains. The first part, an expository text on the foundations of the subject, is intended for post;

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Non-Homogeneous Markov Chains and Systems

Features A broad and accessible overview of non-homogeneous Markov chains and systems Fills a significant gap in the current literature A;

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Topics in the Constructive Theory of Countable Markov Chains

Markov chains are an important idea, related to random walks, which crops up widely in applied stochastic analysis. They are used, for;

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Topics in the Constructive Theory of Countable Markov Chains

Markov chains are an important idea, related to random walks, which crops up widely in applied stochastic analysis. They are used, for;

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