05005nam 22007815 450 991034933930332120251230064816.03-030-22285-310.1007/978-3-030-22285-7(CKB)4100000009160298(MiAaPQ)EBC5889170(DE-He213)978-3-030-22285-7(PPN)248602942(EXLCZ)99410000000916029820190831d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierFrontiers in Stochastic Analysis–BSDEs, SPDEs and their Applications Edinburgh, July 2017 Selected, Revised and Extended Contributions /edited by Samuel N. Cohen, István Gyöngy, Gonҫalo dos Reis, David Siska, Łukasz Szpruch1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (303 pages) illustrationsSpringer Proceedings in Mathematics & Statistics,2194-1017 ;2893-030-22284-5 Preface -- Dirk Becherer, Martin Büttner, Klebert Kentia, On the monotone stability approach to BSDEs with jumps: Extensions, concrete criteria and examples -- Mireille Bossy, Jean-Franҫois Jabir, On the wellposedness of some McKean models with moderated or singular diffusion coefficient -- Philippe Briand, Adrien Richou, On the uniqueness of solutions to quadratic BSDEs with non-convex generators -- Antonella Calzolari, Barbara Torti, An example of martingale representation in progressive enlargement by an accessible random time -- Samuel N. Cohen, Martin Tegner, European option pricing with stochastic volatility models under parameter uncertainty -- Nicole El Karoui, Caroline Hillairet, Mohamed Mrad, Construction of an aggregate consistent utility, without Pareto optimality. Application to Long-Term yield curve modeling -- Monique Jeanblanc, Dongli Wu, BSDEs and enlargement of filtration -- Gonҫcalo dos Reis, Greig Smith, An unbiased Itô type stochastic representation for transport PDEs: A toy example -- Mauro Rosestolato, Path-dependent SDEs in Hilbert spaces.This collection of selected, revised and extended contributions resulted from a Workshop on BSDEs, SPDEs and their Applications that took place in Edinburgh, Scotland, July 2017 and included the 8th World Symposium on BSDEs. The volume addresses recent advances involving backward stochastic differential equations (BSDEs) and stochastic partial differential equations (SPDEs). These equations are of fundamental importance in modelling of biological, physical and economic systems, and underpin many problems in control of random systems, mathematical finance, stochastic filtering and data assimilation. The papers in this volume seek to understand these equations, and to use them to build our understanding in other areas of mathematics. This volume will be of interest to those working at the forefront of modern probability theory, both established researchers and graduate students.Springer Proceedings in Mathematics & Statistics,2194-1017 ;289ProbabilitiesSystem theoryControl theorySocial sciencesMathematicsMathematicsData processingDifferential equationsMathematical optimizationCalculus of variationsProbability TheorySystems Theory, ControlMathematics in Business, Economics and FinanceComputational Mathematics and Numerical AnalysisDifferential EquationsCalculus of Variations and OptimizationProbabilities.System theory.Control theory.Social sciencesMathematics.MathematicsData processing.Differential equations.Mathematical optimization.Calculus of variations.Probability Theory.Systems Theory, Control.Mathematics in Business, Economics and Finance.Computational Mathematics and Numerical Analysis.Differential Equations.Calculus of Variations and Optimization.519.2519.22Cohen Samuel Nedthttp://id.loc.gov/vocabulary/relators/edtGyöngy Istvánedthttp://id.loc.gov/vocabulary/relators/edtdos Reis Gonҫaloedthttp://id.loc.gov/vocabulary/relators/edtSiska Davidedthttp://id.loc.gov/vocabulary/relators/edtSzpruch Łukaszedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910349339303321Frontiers in Stochastic Analysis–BSDEs, SPDEs and their Applications1732479UNINA