This class gives an introduction to theory and application of stochastic processes, including martingales, Brownian motion, Poisson processes, and point processes.
Review of discrete probability, see notes
Introduction to proability theory: axioms of discrete probability, conditional probability (HJE 5.1, 5.2.1, 5.2.2)
Law of total probability, Bayes’ rule, independence, discrete random variables, expectation (HJE 5.2.3, 5.2.4, 5.3, 5.4 in parts)
In class discussion, Exercise 1
Expectation, variance, Bernoulli trials, binomial distribution (HJ 5.4, 5.5.1, 5.5.2)
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