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


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Автор: Levin D.A., Peres Y., Wilmer E.L.
Название:  Markov chain and mixing times
Перевод названия: Д.А. Левин: Цепь Маркова и смешанное время
ISBN: 9781470429621
Издательство: Mare Nostrum (Eurospan)
Классификация:
ISBN-10: 1470429624
Обложка/Формат: Hardback
Страницы: 464
Вес: 0.94 кг.
Дата издания: 30.10.2017
Серия: Mathematics
Язык: English
Издание: 2 revised edition
Размер: 190 x 263 x 27
Читательская аудитория: Professional and scholarly
Ключевые слова: Probability & statistics
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Поставляется из: Англии
Описание: This book is an introduction to the modern theory of Markov chains, whose goal is to determine the rate of convergence to the stationary distribution, as a function of state space size and geometry. This topic has important connections to combinatorics, statistical physics, and theoretical computer science. Many of the techniques presented originate in these disciplines.The central tools for estimating convergence times, including coupling, strong stationary times, and spectral methods, are developed. The authors discuss many examples, including card shuffling and the Ising model, from statistical mechanics, and present the connection of random walks to electrical networks and apply it to estimate hitting and cover times.The first edition has been used in courses in mathematics and computer science departments of numerous universities. The second edition features three new chapters (on monotone chains, the exclusion process, and stationary times) and also includes smaller additions and corrections throughout. Updated notes at the end of each chapter inform the reader of recent research developments.
Дополнительное описание: Probability and statistics



Markov Chain Monte Carlo

Автор: Gamerman, Dani.
Название: Markov Chain Monte Carlo
ISBN: 1584885874 ISBN-13(EAN): 9781584885870
Издательство: Taylor&Francis
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Цена: 15312.00 р.
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.

Advances in Industrial Mixing: A Companion to the Handbook of Industrial Mixing

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: 26762.00 р.
Наличие на складе: Поставка под заказ.

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.

Markov Decision Processes in Practice

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: 30745.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Hidden Markov Models

Автор: David R. Westhead; M. S. Vijayabaskar
Название: Hidden Markov Models
ISBN: 1493967517 ISBN-13(EAN): 9781493967513
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology.

Diffusions, Markov Processes and Martingales

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: 11563.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Geometrically Constructed Markov Chain Monte Carlo Study of Quantum Spin-phonon Complex Systems

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: 13060.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Advances in the Control of Markov Jump Linear Systems with No Mode Observation

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: 9141.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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).

Markov chain aggregation for agent-based models

Автор: Banisch, Sven
Название: Markov chain aggregation for agent-based models
ISBN: 3319248758 ISBN-13(EAN): 9783319248752
Издательство: Springer
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Цена: 9781.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Markov Processes, Gaussian Processes, and Local Times

Автор: Marcus
Название: Markov Processes, Gaussian Processes, and Local Times
ISBN: 1107403758 ISBN-13(EAN): 9781107403758
Издательство: Cambridge Academ
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Цена: 12038.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Data-Mining the Web - Uncovering Patterns in Web Content, Structure and Usage

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: 15198.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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). .


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