Set-Valued Martingales and Backward Stochastic Differential Equations - Lecture
Offered By: USC Probability and Statistics Seminar via YouTube
Course Description
Overview
Explore a comprehensive lecture on set-valued martingales and backward stochastic differential equations (SV-BSDE) presented by Çağın Ararat from Bilkent University. Delve into the theory behind SV-BSDEs, motivated by the connection between univariate dynamic risk measures and backward stochastic differential equations. Examine the formulation of a simple SV-BSDE with a compact-valued driver function and investigate its well-posedness. Discover a key tool in establishing well-posedness through the availability of a stochastic integral representation for set-valued martingales. Learn about a new martingale representation theorem that allows for nontrivial initial values, contrasting with existing literature. Gain insights into this joint work with Jin Ma and Wenqian Wu, presented as part of the USC Probability and Statistics Seminar.
Syllabus
Çağın Ararat: Set-valued martingales and backward stochastic differential equations (Bilkent)
Taught by
USC Probability and Statistics Seminar
Related Courses
Neuronal DynamicsÉcole Polytechnique Fédérale de Lausanne via edX Neuronal Dynamics
École Polytechnique Fédérale de Lausanne via edX Risk and Reliability of offshore structures
Indian Institute of Technology Madras via Swayam Stochastic Processes
Indian Institute of Technology Delhi via Swayam Introductory Statistics : Basic Ideas and Instruments for Statistical Inference
Seoul National University via edX