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Introduction to Stochastic Analysis and Malliavin Calculus

2014-07-01 Mathematics
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Release : 2014-07-01
Genre : Mathematics
Kind : eBook
Book Rating : 997/5 ( reviews)

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Book Synopsis Introduction to Stochastic Analysis and Malliavin Calculus by : Giuseppe Da Prato

Download or read book Introduction to Stochastic Analysis and Malliavin Calculus written by Giuseppe Da Prato. This book was released on 2014-07-01. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents an introductory course on differential stochastic equations and Malliavin calculus. The material of the book has grown out of a series of courses delivered at the Scuola Normale Superiore di Pisa (and also at the Trento and Funchal Universities) and has been refined over several years of teaching experience in the subject. The lectures are addressed to a reader who is familiar with basic notions of measure theory and functional analysis. The first part is devoted to the Gaussian measure in a separable Hilbert space, the Malliavin derivative, the construction of the Brownian motion and Itô's formula. The second part deals with differential stochastic equations and their connection with parabolic problems. The third part provides an introduction to the Malliavin calculus. Several applications are given, notably the Feynman-Kac, Girsanov and Clark-Ocone formulae, the Krylov-Bogoliubov and Von Neumann theorems. In this third edition several small improvements are added and a new section devoted to the differentiability of the Feynman-Kac semigroup is introduced. A considerable number of corrections and improvements have been made.

Introduction to Stochastic Analysis and Malliavin Calculus

2015-08
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Release : 2015-08
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Kind : eBook
Book Rating : 906/5 ( reviews)

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Book Synopsis Introduction to Stochastic Analysis and Malliavin Calculus by : Jai Rathod

Download or read book Introduction to Stochastic Analysis and Malliavin Calculus written by Jai Rathod. This book was released on 2015-08. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic calculus is a branch of mathematics that operates on stochastic processes. It allows a consistent theory of integration to be defined for integrals of stochastic processes with respect to stochastic processes. It is used to model systems that behave randomly. The best-known stochastic process to which stochastic calculus is applied is the Wiener process, the Wiener process has been widely applied in financial mathematics and economics to model the evolution in time of stock prices and bond interest rates. The Malliavin calculus extends the calculus of variations from functions to stochastic processes. The Malliavin calculus is also called the stochastic calculus of variations. In particular, it allows the computation of derivatives of random variables. Malliavin's ideas led to a proof that H�rmander's condition implies the existence and smoothness of a density for the solution of a stochastic differential equation; H�rmander's original proof was based on the theory of partial differential equations. The calculus has been applied to stochastic partial differential equations as well. The calculus allows integration by parts with random variables; this operation is used in mathematical finance to compute the sensitivities of financial derivatives. The calculus has applications in, for example, stochastic filtering. This book emphasizes on differential stochastic equations and Malliavin calculus.

Stochastic Analysis

2017 Mathematics
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Release : 2017
Genre : Mathematics
Kind : eBook
Book Rating : 51X/5 ( reviews)

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Book Synopsis Stochastic Analysis by : Hiroyuki Matsumoto

Download or read book Stochastic Analysis written by Hiroyuki Matsumoto. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt: Developing the Itô calculus and Malliavin calculus in tandem, this book crystallizes modern day stochastic analysis into a single volume.

Stochastic Analysis for Poisson Point Processes

2016-07-07 Mathematics
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Release : 2016-07-07
Genre : Mathematics
Kind : eBook
Book Rating : 330/5 ( reviews)

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Book Synopsis Stochastic Analysis for Poisson Point Processes by : Giovanni Peccati

Download or read book Stochastic Analysis for Poisson Point Processes written by Giovanni Peccati. This book was released on 2016-07-07. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic geometry is the branch of mathematics that studies geometric structures associated with random configurations, such as random graphs, tilings and mosaics. Due to its close ties with stereology and spatial statistics, the results in this area are relevant for a large number of important applications, e.g. to the mathematical modeling and statistical analysis of telecommunication networks, geostatistics and image analysis. In recent years – due mainly to the impetus of the authors and their collaborators – a powerful connection has been established between stochastic geometry and the Malliavin calculus of variations, which is a collection of probabilistic techniques based on the properties of infinite-dimensional differential operators. This has led in particular to the discovery of a large number of new quantitative limit theorems for high-dimensional geometric objects. This unique book presents an organic collection of authoritative surveys written by the principal actors in this rapidly evolving field, offering a rigorous yet lively presentation of its many facets.

Stochastic Analysis

2015-06-12 Mathematics
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Release : 2015-06-12
Genre : Mathematics
Kind : eBook
Book Rating : 748/5 ( reviews)

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Book Synopsis Stochastic Analysis by : Paul Malliavin

Download or read book Stochastic Analysis written by Paul Malliavin. This book was released on 2015-06-12. Available in PDF, EPUB and Kindle. Book excerpt: In 5 independent sections, this book accounts recent main developments of stochastic analysis: Gross-Stroock Sobolev space over a Gaussian probability space; quasi-sure analysis; anticipate stochastic integrals as divergence operators; principle of transfer from ordinary differential equations to stochastic differential equations; Malliavin calculus and elliptic estimates; stochastic Analysis in infinite dimension.

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