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Stochastic Analysis For Gaussian Ra, Mandrekar


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Цена: 15312.00р.
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Автор: Mandrekar
Название:  Stochastic Analysis For Gaussian Ra
ISBN: 9781498707817
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1498707815
Обложка/Формат: Hardback
Страницы: 201
Вес: 0.44 кг.
Дата издания: 24.06.2015
Серия: Chapman & hall/crc monographs on statistics and applied probability
Язык: English
Размер: 164 x 250 x 15
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, MATHEMATICS / Probability & Statistics / General,MATHEMATICS / Probability & Statistics / Bayesian Analysis
Основная тема: Statistical Theory & Methods
Подзаголовок: With applications
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic properties connecting probabilistic notions. In particular, it studies Gaussian random fields using reproducing kernel Hilbert spaces (RKHSs).

The book begins with preliminary results on covariance and associated RKHS before introducing the Gaussian process and Gaussian random fields. The authors use chaos expansion to define the Skorokhod integral, which generalizes the It integral. They show how the Skorokhod integral is a dual operator of Skorokhod differentiation and the divergence operator of Malliavin. The authors also present Gaussian processes indexed by real numbers and obtain a Kallianpur-Striebel Bayes formula for the filtering problem. After discussing the problem of equivalence and singularity of Gaussian random fields (including a generalization of the Girsanov theorem), the book concludes with the Markov property of Gaussian random fields indexed by measures and generalized Gaussian random fields indexed by Schwartz space. The Markov property for generalized random fields is connected to the Markov process generated by a Dirichlet form.




Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

Gaussian Markov Random Fields

Автор: Rue
Название: Gaussian Markov Random Fields
ISBN: 1584884320 ISBN-13(EAN): 9781584884323
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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Описание: Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects.

Large deviations for gaussian queues

Автор: Mandjes, Michel
Название: Large deviations for gaussian queues
ISBN: 0470015233 ISBN-13(EAN): 9780470015230
Издательство: Wiley
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Цена: 17891.00 р.
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Описание: Demonstrates how the Gaussian traffic model arises naturally, and how the analysis of the corresponding queuing model can be performed. This text provides an introduction to Gaussian queues, and surveys research into the modelling of communications networks. It is useful for postgraduate students in applied probability, and operations research.

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.
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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.

Two-Scale Stochastic Systems / Asymptotic Analysis and Control

Автор: Kabanov Yuri, Pergamenshchikov Sergei
Название: Two-Scale Stochastic Systems / Asymptotic Analysis and Control
ISBN: 3540653325 ISBN-13(EAN): 9783540653325
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Two-scale systems described by singularly perturbed SDEs have been the subject of ample literature. However, this new monograph develops subjects that were rarely addressed and could be given the collective description "Stochastic Tikhonov-Levinson theory and its applications." The book provides a mathematical apparatus designed to analyze the dynamic behaviour of a randomly perturbed system with fast and slow variables. In contrast to the deterministic Tikhonov-Levinson theory, the basic model is described in a more realistic way by stochastic differential equations. This leads to a number of new theoretical questions but simultaneously allows us to treat in a unified way a surprisingly wide spectrum of applications like fast modulations, approximate filtering, and stochastic approximation.

Stochastic Simulation: Algorithms and Analysis

Автор: Asmussen
Название: Stochastic Simulation: Algorithms and Analysis
ISBN: 038730679X ISBN-13(EAN): 9780387306797
Издательство: Springer
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Цена: 6981.00 р.
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Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first  half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of  examples, exercises and applications students, practitioners and researchers in  probability, statistics, operations research, economics, finance, engineering  as well as biology and chemistry and physics will find the book of value.  Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of  Engineering at Stanford University. 

Stochastic and Statistical Methods in Hydrology and Environmental Engineering: Time Series Analysis in Hydrology

Автор: Keith W. Hipel
Название: Stochastic and Statistical Methods in Hydrology and Environmental Engineering: Time Series Analysis in Hydrology
ISBN: 9048143799 ISBN-13(EAN): 9789048143795
Издательство: Springer
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Цена: 28732.00 р.
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Описание: Vol.4: Effective Environmental Management for Sustainable Development

Gaussian Processes on Trees

Автор: Bovier
Название: Gaussian Processes on Trees
ISBN: 1107160499 ISBN-13(EAN): 9781107160491
Издательство: Cambridge Academ
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Цена: 9346.00 р.
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Описание: Branching Brownian motion is a key model at the crossroads of value statistics for Gaussian processes, statistical physics, and non-linear partial differential equations. This book gives a concise introduction for graduate students and researchers leading up to the most recent developments in this active area of research.

Financial Modeling Under Non-Gaussian Distributions

Автор: Jondeau
Название: Financial Modeling Under Non-Gaussian Distributions
ISBN: 1846284198 ISBN-13(EAN): 9781846284199
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The use of Gaussian models when the asset return distributions are not normal could lead to a wrong choice of portfolio, the underestimation of extreme losses or mispriced derivative products. This book deals with the non-Gaussian distributions and addresses the consequences of non-normality and time dependency in asset returns and option prices.


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