Biostatistics 250 -- Probability Theory and Applications II
Course Description: Basic set theory, measure theory, Riemann-Stieltjes and Lebesgue integration, conditional probability, conditional expectation (projection), martingales, Radon-Nikodym derivative, product measure and Fubini’s Theorem, limit theorems on sequences of random variables, stochastic processes, weak convergence.

This class is at the Graduate level
Instructor: Andrea Gloria Rotnitzky (Public Health)
Prerequisites: Biostatistics 230 and Biostatistics 232, or signature of instructor required.

Back to Classes