Science/Engineering Markov Chains and Mixing Times (0821847392)

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David A. Levin, Yuval Peres, Elizabeth L. Wilmer "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 of convergence of a Markov chain to the stationary distribution as a function of the size and geometry of the state space. The authors develop the key tools for estimating convergence times, including coupling, strong stationary times, and spectral methods. Whenever possible, probabilistic methods are emphasized. The book includes many examples and provides brief introductions to some central models of statistical mechanics. Also provided are accounts of random walks on networks, including hitting and cover times, and analyses of several methods of shuffling cards. As a prerequisite, the authors assume a modest understanding of probability theory and linear algebra at an undergraduate level. "Markov Chains and Mixing Times" is meant to bring the excitement of this active area of research to a wide audience.

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	Mathematics Self-Learning Control of Finite Markov Chains
	Science/Engineering Markov Chains Daniel Revuz "Markov Chains" North Holland \| 1984-05-01 \| ISBN: 0444864008 \| 374 pages \| PDF \| 12,8 MB This is the revised and augmented edition of a now classic book which is an introduction to sub-Markovian kernels on general measurab ...
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	Science/Engineering Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis Vlad Barbu, Nikolaos Limnios, "Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis" Springer \| 2008-08-28 \| ISBN: 0387731717 \| 226 pages \| PDF \| 2,5 MB This book is concerned w ...
	Science/Engineering Mathematical Aspects of Mixing Times in Markov Chains Ravi Montenegro, Prasad Tetali, "Mathematical Aspects of Mixing Times in Markov Chains" Now Publishers Inc \| 2006-05-25 \| ISBN: 1933019298 \| 132 pages \| PDF \| 1,1 MB "Mathematical Aspects of Mixing Times in Markov Chains" begins with a ...
	Science/Engineering Markov Chains and Stochastic Stability Sean Meyn, Richard L. Tweedie, "Markov Chains and Stochastic Stability" Cambridge University Press \| 2009 \| ISBN: 0521731828 \| 622 pages \| PDF \| 6,5 MB Meyn & Tweedie is back! The bible on Markov chains in general state spaces has bee ...

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	Mathematics Self-Learning Control of Finite Markov Chains
	Science/Engineering Markov Chains Daniel Revuz "Markov Chains" North Holland \| 1984-05-01 \| ISBN: 0444864008 \| 374 pages \| PDF \| 12,8 MB This is the revised and augmented edition of a now classic book which is an introduction to sub-Markovian kernels on general measurab ...
	Science/Engineering Non-negative Matrices and Markov Chains Non-negative Matrices and Markov Chains288 pages \| Springer; 2nd edition (January 26, 2006) \| ISBN: 0387297650 \| PDF \| 10 MbThis book is a photographic reproduction of the book of the same title published in 1981, for which there has been c ...
	Science/Engineering Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis Vlad Barbu, Nikolaos Limnios, "Semi-Markov Chains and Hidden Semi-Markov Models toward Applications: Their Use in Reliability and DNA Analysis" Springer \| 2008-08-28 \| ISBN: 0387731717 \| 226 pages \| PDF \| 2,5 MB This book is concerned w ...
	Science/Engineering Mathematical Aspects of Mixing Times in Markov Chains Ravi Montenegro, Prasad Tetali, "Mathematical Aspects of Mixing Times in Markov Chains" Now Publishers Inc \| 2006-05-25 \| ISBN: 1933019298 \| 132 pages \| PDF \| 1,1 MB "Mathematical Aspects of Mixing Times in Markov Chains" begins with a ...
	Science/Engineering Markov Chains and Stochastic Stability Sean Meyn, Richard L. Tweedie, "Markov Chains and Stochastic Stability" Cambridge University Press \| 2009 \| ISBN: 0521731828 \| 622 pages \| PDF \| 6,5 MB Meyn & Tweedie is back! The bible on Markov chains in general state spaces has bee ...

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