Stat 204: Probability for Applications
UC Berkeley
Overview
A treatment of ideas and techniques most commonly found in the applications of probability: Gaussian and Poisson processes, limit theorems, large deviation principles, information, Markov chains and Markov chain Monte Carlo, martingales, Brownian motion and diffusion.
Logistics
Three hours of Lecture per week for 15 weeks.