Stochastic Calculus Lecture 5 Part 1 Basics of Markov Chains; motivation and examples

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This course is an introduction to stochastic calculus based on Brownian motion. Topics include: construction of Brownian motion; martingales in continuous time; the Ito integral; localization; Ito calculus; stochastic differential equations; Girsanov’s theorem; martingale representation; the Feynman-Kac formula. @RUeamHK0X6#
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Lecture 4 is missing. It would be helpful if you add those lectures.

shishirbhattarai