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W*-Corresponcences, Finite Directed Graphs and Markov Chains

Let A be the W*-algebra, L1(E(0), u), where E(0) is a fnite set and u is a probability measure with full support. Let P: A->A be a;

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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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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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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 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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Finite Mathematics Mod & Aplicati Set

; Simplex Methods; Application Models; Set and Probability Relationships; Random Variables and Probability Distributions; Markov Chains;

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Linear Algebra and Matrices

, and their relationship to the better-known Jordan canonical form; the use of block cyclic matrices and directed graphs to prove Frobenius's;

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Harmonic Functions and Potentials on Finite or Infinite Networks

Random walks, Markov chains and electrical networks serve as an introduction to the study of real-valued functions on finite or infinite;

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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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Time-Like Graphical Models

directed sets and branching Markov processes.;

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Generators of Markov Chains

Elementary treatments of Markov chains, especially those devoted to discrete-time and finite state-space theory, leave the impression that;

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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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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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Random Walks on Infinite Graphs and Groups

The main theme of this book is the interplay between the behaviour of a class of stochastic processes (random walks) and discrete structure;

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Random Walks on Infinite Graphs and Groups

The main theme of this book is the interplay between the behaviour of a class of stochastic processes (random walks) and discrete structure;

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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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Mathematics of Probability

independence and conditional expectations. The second half of the book deals with Gaussian random variables, with Markov chains, with a few continuous;

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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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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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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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The Theory of Probability

, infinitely divisible distributions, and Markov processes. Written in a clear and concise style, this book by Gnedenko can serve as a textbook for;

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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

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

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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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