STAT_O 560
Probability and Stochastic Processes
Theory of probability, including random variables, expectation, conditional expectation, generating functions, modes of convergence of random variables and their distributions. Applications to random models such as Markov, Poisson, birth-death, Gaussian and diffusion processes. [3-0-0]
Sources
- Course catalogue ↗2026-2027