Theory of Probability I credit:

4 Hours

Mathematical foundations of probability and stochastic processes; probability measures, random variables, distribution functions, convergence theory, the Central Limit Theorem, conditional expectation, and martingale theory. Same as STAT 551 . Prerequisite: MATH 540 or consent of instructor.