Graduate Course Description
|Course Title:||Stochastic Processes and Applications|
|Unique Number:||M394C (57290)|
|Time/Location of Lecture:||MW 12:30-2:00 pm
|Instructor:||Professor Thaleia Zariphopoulou|
The course will offer an introduction to several aspects of stochastic analysis for Markov processes. Among other topics to be covered are martingale theory, stochastic integration and stochastic calculus. Emphasis will be given on the connection of the stochastic analysis to the theory of partial differential equations, in particular for the case of Markov diffusion processes. An introduction to Stochastic Control will be also offered as well as applications to optimization models of asset pricing in economics, insurance and finance.
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