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Stochastic Analysis 2010 [electronic resource] / edited by Dan Crisan.

By: Crisan, Dan [editor.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: VIII, 299p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642153587.Subject(s): Mathematics | Distribution (Probability theory) | Mathematics | Probability Theory and Stochastic ProcessesDDC classification: 519.2 Online resources: Click here to access online
Contents:
D.Crisan: Introduction to the Volume -- V. Bally and E. Clément: Integration by Parts Formula with Respect to Jump Times for Stochastic Differential Equations -- V. Ortiz-López and M. Sanz-Solé: A Laplace Principle for a Stochastic Wave Equation in Spatial Dimension Three -- X.-M. Li: Intertwinned Diffusions Operators by Examples -- L. G. Gyurkó and T. Lyons: Effcient and practical implementations of Cubature on Wiener space -- T. Kurtz: Equivalence of Stochastic Equations and Martingale Problems -- I. Gyöngy and N.V. Krylov: Accelerated Numerical Schemes for PDEs and SPDEs -- A. Papavasilio: Coarse-Grained Modeling of Multiscale Diffusions: The p-variation Estimates -- V.N. Stanciulescu and M.V. Tretyakov: Numerical Solution of the Dirichlet Problem for Linear Parabolic SPDEs Based on Averaging over Characteristics -- S. Davie: Individual Path Uniqueness of Solutions of Stochastic differential equations -- V. Kolokoltsov: Stochastic Integrals and SDE Driven by Nonlinear Levy Noise -- R. Tunaru: Discrete Algorithms for Multivariate Financial Calculus -- D. Brody, L. Hughston and A. Macrina: Credit Risk, Market Sentiment, and Randomly-Timed Default -- M. Kelbert and Y. Suhov: Continuity of mutual entropy in the limiting signal-to-noise ratio regimes.
In: Springer eBooksSummary: Stochastic Analysis aims to provide mathematical tools to describe and model high dimensional random systems. Such tools arise in the study of Stochastic Differential Equations and Stochastic Partial Differential Equations, Infinite Dimensional Stochastic Geometry, Random Media and Interacting Particle Systems, Super-processes, Stochastic Filtering, Mathematical Finance, etc. Stochastic Analysis has emerged as a core area of late 20th century Mathematics and is currently undergoing a rapid scientific development. The special volume “Stochastic Analysis 2010” provides a sample of the current research in the different branches of the subject. It includes the collected works of the participants at the Stochastic Analysis section of the 7th ISAAC Congress organized at Imperial College London in July 2009.
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D.Crisan: Introduction to the Volume -- V. Bally and E. Clément: Integration by Parts Formula with Respect to Jump Times for Stochastic Differential Equations -- V. Ortiz-López and M. Sanz-Solé: A Laplace Principle for a Stochastic Wave Equation in Spatial Dimension Three -- X.-M. Li: Intertwinned Diffusions Operators by Examples -- L. G. Gyurkó and T. Lyons: Effcient and practical implementations of Cubature on Wiener space -- T. Kurtz: Equivalence of Stochastic Equations and Martingale Problems -- I. Gyöngy and N.V. Krylov: Accelerated Numerical Schemes for PDEs and SPDEs -- A. Papavasilio: Coarse-Grained Modeling of Multiscale Diffusions: The p-variation Estimates -- V.N. Stanciulescu and M.V. Tretyakov: Numerical Solution of the Dirichlet Problem for Linear Parabolic SPDEs Based on Averaging over Characteristics -- S. Davie: Individual Path Uniqueness of Solutions of Stochastic differential equations -- V. Kolokoltsov: Stochastic Integrals and SDE Driven by Nonlinear Levy Noise -- R. Tunaru: Discrete Algorithms for Multivariate Financial Calculus -- D. Brody, L. Hughston and A. Macrina: Credit Risk, Market Sentiment, and Randomly-Timed Default -- M. Kelbert and Y. Suhov: Continuity of mutual entropy in the limiting signal-to-noise ratio regimes.

Stochastic Analysis aims to provide mathematical tools to describe and model high dimensional random systems. Such tools arise in the study of Stochastic Differential Equations and Stochastic Partial Differential Equations, Infinite Dimensional Stochastic Geometry, Random Media and Interacting Particle Systems, Super-processes, Stochastic Filtering, Mathematical Finance, etc. Stochastic Analysis has emerged as a core area of late 20th century Mathematics and is currently undergoing a rapid scientific development. The special volume “Stochastic Analysis 2010” provides a sample of the current research in the different branches of the subject. It includes the collected works of the participants at the Stochastic Analysis section of the 7th ISAAC Congress organized at Imperial College London in July 2009.

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