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Malliavin Calculus and Stochastic Analysis

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Cover of 'Malliavin Calculus and Stochastic Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 An Application of Gaussian Measures to Functional Analysis
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    Chapter 2 Stochastic Taylor Formulas and Riemannian Geometry
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    Chapter 3 Local Invertibility of Adapted Shifts on Wiener Space and Related Topics
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    Chapter 4 Dilation Vector Field on Wiener Space
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    Chapter 5 The Calculus of Differentials for the Weak Stratonovich Integral
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    Chapter 6 Large Deviations for Hilbert-Space-Valued Wiener Processes: A Sequence Space Approach
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    Chapter 7 Stationary Distributions for Jump Processes with Inert Drift
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    Chapter 8 An Ornstein-Uhlenbeck-Type Process Which Satisfies Sufficient Conditions for a Simulation-Based Filtering Procedure
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    Chapter 9 Escape Probability for Stochastic Dynamical Systems with Jumps
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    Chapter 10 On the Stochastic Navier–Stokes Equation Driven by Stationary White Noise
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    Chapter 11 Malliavin Calculus and Stochastic Analysis
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    Chapter 12 Generalized Stochastic Heat Equations
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    Chapter 13 Gaussian Upper Density Estimates for Spatially Homogeneous SPDEs
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    Chapter 14 Stationarity of the Solution for the Semilinear Stochastic Integral Equation on the Whole Real Line
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    Chapter 15 A Strong Approximation of Subfractional Brownian Motion by Means of Transport Processes
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    Chapter 16 Malliavin Calculus for Fractional Heat Equation
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    Chapter 17 Malliavin Calculus and Stochastic Analysis
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    Chapter 18 Gradient Bounds for Solutions of Stochastic Differential Equations Driven by Fractional Brownian Motions
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    Chapter 19 Parameter Estimation for Fractional Ornstein–Uhlenbeck Processes with Discrete Observations
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    Chapter 20 The Effect of Competition on the Height and Length of the Forest of Genealogical Trees of a Large Population
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    Chapter 21 Linking Progressive and Initial Filtration Expansions
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    Chapter 22 A Malliavin Calculus Approach to General Stochastic Differential Games with Partial Information
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    Chapter 23 Asymptotics for the Length of the Longest Increasing Subsequence of a Binary Markov Random Word
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    Chapter 24 A Short Rate Model Using Ambit Processes
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    Chapter 25 Parametric Regularity of the Conditional Expectations via the Malliavin Calculus and Applications
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Title
Malliavin Calculus and Stochastic Analysis
Published by
Springer US, February 2013
DOI 10.1007/978-1-4614-5906-4
ISBNs
978-1-4614-5905-7, 978-1-4614-5906-4
Editors

Viens, Frederi, Feng, Jin, Hu, Yaozhong, Nualart , Eulalia

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 10%
Student > Postgraduate 1 10%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Unknown 6 60%
Readers by discipline Count As %
Mathematics 2 20%
Business, Management and Accounting 2 20%
Unknown 6 60%