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Self-Learning Control of Finite Markov Chains

Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results;

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Self-Learning Control of Finite Markov Chains

Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results;

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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 Semigroups at Saint-Flour

, Laurent: Lectures on Finite Markov Chains.;

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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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Finite Mathematics Mod & Aplicati Set

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

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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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Selected Topics on Continuous-Time Controlled Markov Chains and Markov Games

of stochastic control problems in which a single decision-maker wishes to optimize a given objective function. This book is also concerned with Markov;

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Markov Chains

control and financial risk measurement are also presented. In Chapter 7, a class of parsimonious multivariate Markov models is introduced. Again;

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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 Processes and Applications

including Markov Chain Monte Carlo, Simulated Annealing, Hidden Markov Models, Annotation and Alignment of Genomic sequences, Control and Filtering;

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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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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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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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Distribution Theory Of Runs And Patterns And Its Applications

This book provides a rigorous, comprehensive introduction to the finite Markov chain imbedding technique for studying the distributions;

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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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The Theory of Probability

to the problems discussed. Topics of this book include the axiomatic setup of probability theory, polynomial distribution, finite Markov;

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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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Modern Trends in Controlled Stochastic Processes:

, optimal filtering, robust control, Q-learning, and self-organizing algorithms. Real-life case studies and applications, e.g., queueing systems;

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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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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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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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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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