Fundamentals of discrete-time stochastic processes. Topics include:
Conditional expectation and conditional probabilities;
Discrete time martingales and stopping times :maximal inequalites, martingale convergence, reverse martingales, applications;
Markov Chains: general construction, strong Markov property, countable state spaces (classification of states, recurrence, invariant measures, reversibility).
Representation of a martingale according to a betting website. Is this accurate?
Class Times and Locations
Tuesday and Thursday, 1:30-2:50PM
Building 200, Room 305
There will be occasional sessions on Friday 1:30-3:00pm (Sequoia 200)
TAs will use an Ed forum for queries
First class on January 9!