MATH 4430A – Stochastic Processes Description: This course begins by reviewing conditional expectations and other key topics from probability theory. We then discuss counting processes and discrete time Markov chains. We consider the classification of states, first step analysis, invariant measures, and first passage times, as well as applications in science and business. Moving to continuous
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