Frontiers in Stochastic Analysis–BSDEs, SPDEs and their Applications Edinburgh, July 2017 Selected, Revised and Extended Contributions
tarafından
 
Cohen, Samuel N. editor.

Başlık
Frontiers in Stochastic Analysis–BSDEs, SPDEs and their Applications Edinburgh, July 2017 Selected, Revised and Extended Contributions

Yazar
Cohen, Samuel N. editor.

ISBN
9783030222857

Edisyon
1st ed. 2019.

Fiziksel Niteleme
IX, 300 p. 43 illus., 11 illus. in color. online resource.

Seri
Springer Proceedings in Mathematics & Statistics, 289

İçindekiler
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.

Özet
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.

Konu Başlığı
Probabilities.
 
System theory.
 
Economics, Mathematical .
 
Computer mathematics.
 
Partial differential equations.
 
Calculus of variations.
 
Probability Theory and Stochastic Processes. https://scigraph.springernature.com/ontologies/product-market-codes/M27004
 
Systems Theory, Control. https://scigraph.springernature.com/ontologies/product-market-codes/M13070
 
Quantitative Finance. https://scigraph.springernature.com/ontologies/product-market-codes/M13062
 
Computational Mathematics and Numerical Analysis. https://scigraph.springernature.com/ontologies/product-market-codes/M1400X
 
Partial Differential Equations. https://scigraph.springernature.com/ontologies/product-market-codes/M12155
 
Calculus of Variations and Optimal Control; Optimization. https://scigraph.springernature.com/ontologies/product-market-codes/M26016

Yazar Ek Girişi
Cohen, Samuel N.
 
Gyöngy, István.
 
dos Reis, Gonҫalo.
 
Siska, David.
 
Szpruch, Łukasz.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-030-22285-7


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book428123-1001QA273 .A1-274.9Springer E-Book Collection