Statistics 605 - Prbablty Th I

Spring
2014
01
3.00
Richard Ellis
TU TH 11:15AM 12:30PM
UMass Amherst
54643
A modern treatment of probability theory based on abstract measure and integration. Random variables, expectations, independence, laws of large numbers, central limit theorem, and general conditioning using the Radon-Nikodym theorem. Introduction to stochastic processes: martingales, Brownian motion. Prerequisite: Math 623.
Permission is required for interchange registration during the add/drop period only.