Elements Of Stochastic Calculus And Analysis


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Elements of Stochastic Calculus and Analysis


Elements of Stochastic Calculus and Analysis

Author: Daniel W. Stroock

language: en

Publisher: Springer

Release Date: 2018-04-24


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This book gives a somewhat unconventional introduction to stochastic analysis. Although most of the material coveredhere has appeared in other places, this book attempts to explain the core ideas on which that material is based. As a consequence, the presentation is more an extended mathematical essay than a ``definition,lemma, theorem'' text. In addition, it includes several topics that are not usually treated elsewhere. For example,Wiener's theory of homogeneous chaos is discussed, Stratovich integration is given a novel development and applied to derive Wong and Zakai's approximation theorem, and examples are given of the application ofMalliavin's calculus to partial differential equations. Each chapter concludes with several exercises, some of which are quite challenging. The book is intended for use by advanced graduate students and researchmathematicians who may be familiar with many of the topics but want to broaden their understanding of them.

Festschrift Masatoshi Fukushima: In Honor Of Masatoshi Fukushima's Sanju


Festschrift Masatoshi Fukushima: In Honor Of Masatoshi Fukushima's Sanju

Author: Zhen-qing Chen

language: en

Publisher: World Scientific

Release Date: 2014-11-27


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This book contains original research papers by leading experts in the fields of probability theory, stochastic analysis, potential theory and mathematical physics. There is also a historical account on Masatoshi Fukushima's contribution to mathematics, as well as authoritative surveys on the state of the art in the field.

Numerical Methods for Stochastic Processes


Numerical Methods for Stochastic Processes

Author: Nicolas Bouleau

language: en

Publisher: John Wiley & Sons

Release Date: 1994-01-14


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Gives greater rigor to numerical treatments of stochastic models. Contains Monte Carlo and quasi-Monte Carlo techniques, simulation of major stochastic procedures, deterministic methods adapted to Markovian problems and special problems related to stochastic integral and differential equations. Simulation methods are given throughout the text as well as numerous exercises.