000			03462nam a22004335i 4500
001			978-3-642-15358-7
003			DE-He213
005			20140220083747.0
007			cr nn 008mamaa
008			101127s2011 gw | s |||| 0|eng d
020			_a9783642153587 _9978-3-642-15358-7
024	7		_a10.1007/978-3-642-15358-7 _2doi
050		4	_aQA273.A1-274.9
050		4	_aQA274-274.9
072		7	_aPBT _2bicssc
072		7	_aPBWL _2bicssc
072		7	_aMAT029000 _2bisacsh
082	0	4	_a519.2 _223
100	1		_aCrisan, Dan. _eeditor.
245	1	0	_aStochastic Analysis 2010 _h[electronic resource] / _cedited by Dan Crisan.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aVIII, 299p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aD.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.
520			_aStochastic 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.
650		0	_aMathematics.
650		0	_aDistribution (Probability theory).
650	1	4	_aMathematics.
650	2	4	_aProbability Theory and Stochastic Processes.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642153570
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-15358-7
912			_aZDB-2-SMA
999			_c107049 _d107049