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Stochastic Analysis and Applications, Pinsky, Mark A.


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Автор: Pinsky, Mark A.
Название:  Stochastic Analysis and Applications
ISBN: 9780824719067
Издательство: Taylor&Francis
Классификация:
ISBN-10: 0824719069
Обложка/Формат: Hardback
Страницы: 472
Вес: 0.82 кг.
Дата издания: 14.11.1984
Серия: Advances in probability and related topics
Язык: English
Размер: 236 x 160 x 26
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Поставляется из: Европейский союз


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.

Option Theory with Stochastic Analysis

Автор: Benth
Название: Option Theory with Stochastic Analysis
ISBN: 354040502X ISBN-13(EAN): 9783540405023
Издательство: Springer
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Цена: 7685.00 р.
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Описание: The objective of this textbook is to provide a very basic and accessible introduction to option pricing, invoking only a minimum of stochastic analysis. Although short, it covers the theory essential to the statistical modeling of stocks, pricing of derivatives (general contingent claims) with martingale theory, and computational finance including both finite-difference and Monte Carlo methods. The reader is led to an understanding of the assumptions inherent in the Black & Scholes theory, of the main idea behind deriving prices and hedges, and of the use of numerical methods to compute prices for exotic contracts. The author's style is compact and to-the-point, requiring of the reader only basic mathematical skills. In contrast to many books addressed to an audience with greater mathematical experience, it can appeal not only to students entering the discipline, but also to many practitioners, e.g. in industry, looking for an introduction to this theory without too much detail.

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. 

Probabilistic Techniques in Analysis

Автор: Bass
Название: Probabilistic Techniques in Analysis
ISBN: 0387943870 ISBN-13(EAN): 9780387943879
Издательство: Springer
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Цена: 12012.00 р.
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Описание: Exploring the use of techniques drawn from probability research to tackle problems in mathematical analysis, this study includes discussion of the construction of the Martin boundary, Dahlberg`s Theorem, probabilistic proofs of the boundary Harnack principle, and much more.

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

Stochastic Analysis with Financial Applications

Автор: Arturo Kohatsu-Higa; Nicolas Privault; Shuenn-Jyi
Название: Stochastic Analysis with Financial Applications
ISBN: 3034803370 ISBN-13(EAN): 9783034803373
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Stochastic analysis has a variety of applications to biological systems as well as physical and engineering problems, and its applications to finance and insurance have bloomed exponentially in recent times.

Stochastic Reachability Analysis of Hybrid Systems

Автор: Luminita Manuela Bujorianu
Название: Stochastic Reachability Analysis of Hybrid Systems
ISBN: 1447162099 ISBN-13(EAN): 9781447162094
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This interdisciplinary book defines reachability in the stochastic framework, covering such concepts as stochastic reachability based on Markov process theory; martingale methods; stochastic reachability as an optimal stopping problem and dynamic programming.

Stochastic and Infinite Dimensional Analysis

Автор: Bernido
Название: Stochastic and Infinite Dimensional Analysis
ISBN: 3319072447 ISBN-13(EAN): 9783319072449
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This volumepresents a collection of papers covering applications from a wide range ofsystems with infinitely many degrees of freedom studied using techniques fromstochastic and infinite dimensional analysis, e.g. Feynman path integrals, thestatistical mechanics of polymer chains, complex networks, and quantum fieldtheory. Systems of infinitely many degrees of freedom create their particularmathematical challenges which have been addressed by different mathematicaltheories, namely in the theories of stochastic processes, Malliavin calculus,and especially white noise analysis.Theseproceedings are inspired by a conference held on the occasion of Prof. LudwigStreit’s 75th birthday and celebrate his pioneering and ongoing work in thesefields.

Stochastic PDEs and Dynamics

Автор: Boling Guo, Hongjun Gao, Xueke Pu
Название: Stochastic PDEs and Dynamics
ISBN: 3110495104 ISBN-13(EAN): 9783110495102
Издательство: Walter de Gruyter
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Цена: 18586.00 р.
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Описание: This book explains mathematical theories of a collection of stochastic partial differential equations and their dynamical behaviors. Based on probability and stochastic process, the authors discuss stochastic integrals, Ito formula and Ornstein-Uhlenbeck processes, and introduce theoretical framework for random attractors. With rigorous mathematical deduction, the book is an essential reference to mathematicians and physicists in nonlinear science. Contents: PreliminariesThe stochastic integral and It formulaOU processes and SDEsRandom attractorsApplicationsBibliographyIndex

Monte-Carlo Methods & Stochastic Pr

Автор: Gobet
Название: Monte-Carlo Methods & Stochastic Pr
ISBN: 1498746225 ISBN-13(EAN): 9781498746229
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание:

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear and nonlinear problems in biology, finance, geophysics, mechanics, chemistry, and other application areas. The text also thoroughly develops the problem of numerical integration and computation of expectation by the Monte-Carlo method.

The book begins with a history of Monte-Carlo methods and an overview of three typical Monte-Carlo problems: numerical integration and computation of expectation, simulation of complex distributions, and stochastic optimization. The remainder of the text is organized in three parts of progressive difficulty. The first part presents basic tools for stochastic simulation and analysis of algorithm convergence. The second part describes Monte-Carlo methods for the simulation of stochastic differential equations. The final part discusses the simulation of non-linear dynamics.

Fndmntls Of Probability 4E

Автор: Ghahramani
Название: Fndmntls Of Probability 4E
ISBN: 1498755097 ISBN-13(EAN): 9781498755092
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание: Covers topics used in a calculus-based junior-senior probability course. It can also be used as a text for a second course in probability. The historical roots and applications of many of the theorems and definitions are presented in detail, accompanied by suitable examples or counterexamples.

Seminar on Stochastic Analysis, Random Fields and Applications VI

Автор: Robert Dalang; Marco Dozzi; Francesco Russo
Название: Seminar on Stochastic Analysis, Random Fields and Applications VI
ISBN: 3034803257 ISBN-13(EAN): 9783034803250
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume contains refereed research or review papers presented at the 6th Seminar on Stochastic Processes, Random Fields and Applications, which took place at the Centro Stefano Franscini (Monte Verita) in Ascona, Switzerland, in May 2008.


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