Hannah Geiss


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Our research concerns stochastic differential equations and backward stochastic equations appearing in Optimization as well as in Finance and Insurance, their approximation and their connection to partial differential equations. Especially I have been working on the further development of Malliavin calculus as a tool to investigate stochastic equations with jumps. The results are important to get fast computer simulations and enable to solve certain partial differential equations numerically.


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Last updated on 2024-17-04 at 21:13