Probability Theory: An Analytic View (MATH 205c, Spring 1996/97)

This probability theory course covers products measures and sums of independent variables, convergence of laws and central limit theorems, conditional expectations and martingales. I hope to also touch upon ergodic theory and continuous time stochastic processes.

Intended for students familiar with measure theory (possibly of no exposure to probability theory), this course provides the prerequisite for advanced stochastic processes courses such as Math234/236/237 or Stat310c/317/318.

Students should solve correctly half of the problems in the four homework sets (HW1 due 4/21, HW2 due 5/5, HW3 due 5/19, HW4 due 6/2 on class, typically graded within a week).

Text, any of the following:

Prerequisite: Mathematics 205a/b or familiarity with measure theory, (Lesbegue) integration and basic elements of real/functional analysis.

Meeting: Math. 380F MWF 10:00 - 11:00.

Instructor: Amir Dembo, Math. 382H WF 11:00-12:00, or e-mail amir@math.stanford.edu

See also seminar for current activity in related areas.