Stochastic Stability of Differential Equations, Rafail Khasminskii; Grigori Noah Milstein

Автор: Platen
Название: Numerical Solution of Stochastic Differential Equations with Jumps in Finance
ISBN: 3642120571 ISBN-13(EAN): 9783642120572
Издательство: Springer
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Описание: It presents many new results on higher-order methods for scenario and Monte Carlo simulation, including implicit, predictor corrector, extrapolation, Markov chain and variance reduction methods, stressing the importance of their numerical stability.

Автор: Protter, Philip
Название: Stochastic integration and differential equations
ISBN: 3642055605 ISBN-13(EAN): 9783642055607
Издательство: Springer
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Описание: Chapter 4 treats sigma martingales (important in finance theory) and gives a more comprehensive treatment of martingale representation, including both the Jacod-Yor theory and Emery`s examples of martingales that actually have martingale representation (thus going beyond the standard cases of Brownian motion and the compensated Poisson process).

Автор: Leonid Shaikhet
Название: Lyapunov Functionals and Stability of Stochastic Functional Differential Equations
ISBN: 3319001000 ISBN-13(EAN): 9783319001005
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book offers a detailed description of Lyapunov functional construction. It features profuse analytical and numerical examples and demonstrates a method that can be usefully applied in economic, mechanical, biological and ecological systems.

Автор: Leonid Shaikhet
Название: Lyapunov Functionals and Stability of Stochastic Functional Differential Equations
ISBN: 3319033522 ISBN-13(EAN): 9783319033525
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book offers a detailed description of Lyapunov functional construction. It features profuse analytical and numerical examples and demonstrates a method that can be usefully applied in economic, mechanical, biological and ecological systems.

Автор: Rong SITU
Название: Theory of Stochastic Differential Equations with Jumps and Applications
ISBN: 1441937714 ISBN-13(EAN): 9781441937711
Издательство: Springer
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Описание: In particular, the reader will be provided with the backward SDE technique for use in research when considering financial problems in the market, and with the reflecting SDE technique to enable study of optimal stochastic population control problems.

Автор: Peter Kotelenez
Название: Stochastic Ordinary and Stochastic Partial Differential Equations
ISBN: 1489986588 ISBN-13(EAN): 9781489986580
Издательство: Springer
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Описание: This book analyzes mathematical models of time-dependent physical phenomena on microscopic, macroscopic and mesoscopic levels. It provides a rigorous derivation of each level from the preceding one and examines the resulting mesoscopic equations in detail.

Автор: Stefano M. Iacus
Название: Simulation and Inference for Stochastic Differential Equations
ISBN: 1441926070 ISBN-13(EAN): 9781441926074
Издательство: Springer
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Описание: This book covers a highly relevant topic that is of wide interest, especially in finance, engineering and computational biology. With an emphasis on the practical implementation of the simulation and estimation methods presented, the text will be useful to practitioners with minimal mathematical background.

Автор: Kunita, Hiroshi
Название: Stochastic flows and stochastic differential equations
ISBN: 0521599253 ISBN-13(EAN): 9780521599252
Издательство: Cambridge Academ
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Описание: The main purpose of this book is to give a systematic treatment of the theory of stochastic differential equations.