Markov chain and mixing times, Levin D.A., Peres Y., Wilmer E.L.

Автор: Gamerman, Dani.
Название: Markov Chain Monte Carlo
ISBN: 1584885874 ISBN-13(EAN): 9781584885870
Издательство: Taylor&Francis
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Цена: 102080.00 T
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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: Suzanne M. Kresta
Название: Advances in Industrial Mixing: A Companion to the Handbook of Industrial Mixing
ISBN: 0470523824 ISBN-13(EAN): 9780470523827
Издательство: Wiley
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Цена: 178410.00 T
Наличие на складе: Нет в наличии.
Описание: Advances in Industrial Mixing is a companion volume and update to the Handbook of Industrial Mixing. The second volume fills in gaps for a number of industries that were not covered in the first edition. Significant changes in five of the fundamental areas are covered in entirely updated or new chapters.

Автор: Richard Boucherie; Nico M van Dijk
Название: Markov Decision Processes in Practice
ISBN: 3319477641 ISBN-13(EAN): 9783319477640
Издательство: Springer
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Цена: 204970.00 T
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Описание: This book presents classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach.

Автор: David R. Westhead; M. S. Vijayabaskar
Название: Hidden Markov Models
ISBN: 1493967517 ISBN-13(EAN): 9781493967513
Издательство: Springer
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Цена: 130430.00 T
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Описание: This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology.

Автор: L. C. G. Rogers
Название: Diffusions, Markov Processes and Martingales
ISBN: 0521775930 ISBN-13(EAN): 9780521775939
Издательство: Cambridge Academ
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Цена: 77090.00 T
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Описание: This celebrated volume gives an accessible introduction to stochastic integrals, stochastic differential equations, excursion theory and the general theory of processes. Together with its companion, it helps equip graduate students for research into a subject of great intrinsic interest and wide application.

Автор: Banisch, Sven
Название: Markov chain aggregation for agent-based models
ISBN: 3319248758 ISBN-13(EAN): 9783319248752
Издательство: Springer
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Цена: 65210.00 T
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Описание: This self-contained text develops a Markov chain approach that makes the rigorous analysis of a class of microscopic models that specify the dynamics of complex systems at the individual level possible.

Автор: Hidemaro Suwa
Название: Geometrically Constructed Markov Chain Monte Carlo Study of Quantum Spin-phonon Complex Systems
ISBN: 4431545166 ISBN-13(EAN): 9784431545163
Издательство: Springer
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Цена: 87070.00 T
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Описание: This book introduces a new Markov chain optimization method with braking the detailed balance. It develops a quantum Monte Carlo method for nonconserved particles and combines it with the excitation level analysis.

Автор: Marcus
Название: Markov Processes, Gaussian Processes, and Local Times
ISBN: 1107403758 ISBN-13(EAN): 9781107403758
Издательство: Cambridge Academ
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Цена: 80250.00 T
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Описание: Two foremost researchers present important advances in stochastic process theory by linking well-understood (Gaussian) and less well-understood (Markov) classes of processes. It builds to this material through `mini-courses` on the relevant ingredients, which assume only measure-theoretic probability. This original, readable 2006 book is for researchers and advanced graduate students.

Автор: Markov
Название: Data-Mining the Web - Uncovering Patterns in Web Content, Structure and Usage
ISBN: 0471666556 ISBN-13(EAN): 9780471666554
Издательство: Wiley
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Цена: 101320.00 T
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Описание: This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance). .

Автор: Vargas
Название: Advances in the Control of Markov Jump Linear Systems with No Mode Observation
ISBN: 3319398342 ISBN-13(EAN): 9783319398341
Издательство: Springer
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Цена: 60940.00 T
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Описание: This brief broadens readers` understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS).