Applied Stochastic Models and Control for Finance and Insurance, Charles S. Tapiero

Автор: Shreve, Steven E.
Название: Stochastic Calculus for Finance II
ISBN: 0387401016 ISBN-13(EAN): 9780387401010
Издательство: Springer
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Цена: 8384.00 р.
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Описание: "A wonderful display of the use of mathematical probability to derive a large set of results from a small set of assumptions.

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387401008 ISBN-13(EAN): 9780387401003
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;

Автор: Cohen Samuel N Et Al
Название: Stochastic Processes, Finance And Control: A Festschrift In Honor Of Robert J Elliott
ISBN: 9814383309 ISBN-13(EAN): 9789814383301
Издательство: World Scientific Publishing
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Цена: 30096.00 р.
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Описание: Consists of a series of peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical finance, actuarial science and engineering. This book is of interest to researchers and practitioners.

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.

Автор: Song
Название: Optimal Control and Optimization of Stochastic Supply Chain Systems
ISBN: 1447147235 ISBN-13(EAN): 9781447147237
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book demonstrates the structural characteristics of the optimal control policies in various stochastic supply chains and to shows how to make use of these characteristics to construct easy-to-operate sub-optimal policies.

Автор: Lamberton, Damien
Название: Introduction to stochastic calculus applied to finance
ISBN: 1584886269 ISBN-13(EAN): 9781584886266
Издательство: Taylor&Francis
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Описание: Maintaining the lucid style of its popular predecessor, this concise and accessible introduction covers the probabilistic techniques required to understand the most widely used financial models. Along with additional exercises, this edition presents fully updated material on stochastic volatility models and option pricing.

Автор: Jacques Janssen; Raimondo Manca
Название: Semi-Markov Risk Models for Finance, Insurance and Reliability
ISBN: 1441943579 ISBN-13(EAN): 9781441943576
Издательство: Springer
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Цена: 16769.00 р.
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Описание: After a presentation of the main probabilistic tools necessary for understanding of the book, the authors show how to apply semi-Markov processes in finance, starting from the axiomatic definition and continuing eventually to the most advanced financial tools.

Автор: X. Sheldon Lin
Название: Introductory Stochastic Analysis for Finance and Insurance
ISBN: 0471716421 ISBN-13(EAN): 9780471716426
Издательство: Wiley
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Цена: 20584.00 р.
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Описание: Incorporates the many tools needed for modeling and pricing in finance and insurance Introductory Stochastic Analysis for Finance and Insurance introduces readers to the topics needed to master and use basic stochastic analysis techniques for mathematical finance.