MATH3002
Introduction to Stochastic Process

Course Description

Conditional expectation, conditional probability, and convergences of random variables. Poisson process and compound Poisson process. Markov chain and Markov processes. Stochastic processes with independent increments, stationary process, and the ergodic theorem. Brownian motion and diffusions.


Prerequisite

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