Time: MWF 02:00 PM - 02:50 PM
Room: CASE 260
Office hours: Monday and Wednesday 11:30-12:30 PM
We explore numerous stochastic processes, e.g. martingales, Markov processes, Brownian motion, diffusion processes, stochastic integrals etc. But this is just a suggestion and we may modify topics on the fly.
The `department enforced prerequisite' is: MATH 4001 or MATH 4510 or APPM 3570 or APPM 4560 or instructor consent. In the second part, you should know some graduate level probability, but we can review those topics during the course.
Stochastic Differential Equations: An Introduction with Applications (Universitext) by Øksendal
An Introduction to Markov Processes (Graduate Texts in Mathematics) by Stroock
Brownian Motion (Cambridge Series in Statistical and Probabilistic Mathematics) by Mörters and Peres
And there are many others of course, e.g.
Karatzas and Shreve, Brownian Motion and Stochastic Calculus
Revuz and Yor, Continuous Martingales and Brownian Motion
A. N. Borodin, Stochastic Processes
etc. etc. etc.
Grading will be based on a combination of HW and presentations.
(Friday to Friday in class or by email)
Andrey
Paul
Albert
Joseph