Robert C. Dalang Knihy

This book presents in thirteen refereed survey articles an overview of modern activity in stochastic analysis, written by leading international experts. The topics addressed include stochastic fluid dynamics and regularization by noise of deterministic dynamical systems; stochastic partial differential equations driven by Gaussian or Lévy noise, including the relationship between parabolic equations and particle systems, and wave equations in a geometric framework; Malliavin calculus and applications to stochastic numerics; stochastic integration in Banach spaces; porous media-type equations; stochastic deformations of classical mechanics and Feynman integrals and stochastic differential equations with reflection. The articles are based on short courses given at the Centre Interfacultaire Bernoulli of the Ecole Polytechnique Fédérale de Lausanne, Switzerland, from January to June 2012. They offer a valuable resource not only for specialists, but also for other researchers and Ph. D. students in the fields of stochastic analysis and mathematical physics. Contributors: S. AlbeverioM. ArnaudonV. BallyV. BarbuH. BessaihZ. BrzeźniakK. BurdzyA. B. CruzeiroF. FlandoliA. Kohatsu-HigaS. MazzucchiC. MuellerJ. van NeervenM. OndrejátS. PeszatM. VeraarL. WeisJ.-C. Zambrini

This volume contains refereed research or review articles presented at the 7th Seminar on Stochastic Analysis, Random Fields and Applications which took place at the Centro Stefano Franscini (Monte Verità) in Ascona , Switzerland, in May 2011. The seminar focused mainly on: - stochastic (partial) differential equations, especially with jump processes, construction of solutions and approximations - Malliavin calculus and Stein methods, and other techniques in stochastic analysis, especially chaos representations and convergence, and applications to models of interacting particle systems - stochastic methods in financial models, especially models for power markets or for risk analysis, empirical estimation and approximation, stochastic control and optimal pricing. The book will be a valuable resource for researchers in stochastic analysis and for professionals interested in stochastic methods in finance.

In May 2006, The University of Utah hosted an NSF-funded minicourse on stochastic partial differential equations. The goal of this minicourse was to introduce graduate students and recent Ph.D.s to various modern topics in stochastic PDEs, and to bring together several experts whose research is centered on the interface between Gaussian analysis, stochastic analysis, and stochastic partial differential equations. This monograph contains an up-to-date compilation of many of those lectures. Particular emphasis is paid to showcasing central ideas and displaying some of the many deep connections between the mentioned disciplines, all the time keeping a realistic pace for the student of the subject.

This volume contains the Proceedings of the Fourth Seminar on Stochastic Analy sis, Random Fields and Applications, which took place at the Centro Stefano Fran scini (Monte Verita) in Ascona (Ticino), Switzerland, from May 20 to 24, 2002. The first three editions of this conference occured in 1993, 1996 and 1999. The Seminar covered several topics: fundamental aspects of stochastic analysis, such as stochastic partial differential equations and random fields, and applications to current active fields such as probabilistic methods in fluid dynamics, biomathe matics, and financial modeling. As in the previous editions, this last topic was the subject of the Fourth Minisymposium on Stochastic Methods in Financial Models. These proceedings aim to present key aspects of these topics to a larger audience. All papers in this volume have been refereed. A major topic within Stochastic Analysis is the area of random fields which includes as particular cases, Gaussian random fields, stochastic partial differential equations (s. p. d. e. 's) and stochastic differential equations with values in Banach spaces. In this framework, interesting new developments were presented in the theory of Gaussian random fields on manifolds with applications to astrophysics and neurosciences. Moreover, with the aim of modeling certain very irregular phe nomena, a theory of s. p. d. e. 's driven by noises concentrated on hyperplanes was presented.

InhaltsverzeichnisLight, atoms, and singularities.How random are random walks ?.Classical solutions for SPDEs with Dirichlet boundary conditions.Credit Risk: The structural approach revisited.Classical solutions for Kolmogorov equations in Hilbert spaces.Monotone gradient systems in L2spaces.Catalytic and mutually catalytic super-brownian motions.Sticky particles, scalar conservation law and pressureless gas equations.Affine short rate models.A filtered EM algorithm for parameter estimation in linear filtering.Instability of a quantum particle induced by a randomly varying spring coefficient.On the superreplication approach for European interest rates derivatives.A complete market model with Poisson and Brownian components.Stochastic calculus and processes in non-commutative space-time.A measure-valued process related to the parabolic Anderson model.Homogenization of PDEs with non linear boundary condition.A Bayesian adaptative control approach to risk management in a binomial model.Hölder continuity for the stochastic heat equation with spatially correlated noise.Regularity conditions for parabolic SPDEs on Lie groups.Forward integrals and stochastic differential equations.