Topics in the Constructive Theory of Countable Markov Chains, G. Fayolle , V. A. Malyshev , M. V. Menshikov
Автор: Prieto-Rumeau Tomas Et Al Название: Selected Topics On Continuous-Time Controlled Markov Chains And Markov Games ISBN: 1848168489 ISBN-13(EAN): 9781848168480 Издательство: World Scientific Publishing Рейтинг: Цена: 96090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Deals with continuous-time controlled Markov chains and Markov games. This book proposes assumptions on the control and game models that are easily verifiable (and verified) in practice. It also analyzes algorithmic and computational issues.
Автор: Gamerman, Dani. Название: Markov Chain Monte Carlo ISBN: 1584885874 ISBN-13(EAN): 9781584885870 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.
Автор: Ching Wai-Ki, Ng Michael K. Название: Markov Chains: Models, Algorithms and Applications ISBN: 0387293353 ISBN-13(EAN): 9780387293356 Издательство: Springer Рейтинг: Цена: 88470.00 T Наличие на складе: Поставка под заказ. Описание: Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This title outlines developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, and many other practical systems.
Автор: Sericola Название: Markov Chains - Theory and Applications ISBN: 1848214936 ISBN-13(EAN): 9781848214934 Издательство: Wiley Рейтинг: Цена: 146730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a thorough treatment of the theory of denumerable Markov chains, both in discrete and in continuous time. In continuous time, it carefully examines the explosion phenomenon and the Kolmogorov equations. It then applies these results to birth and death processes.
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