This course will cover basic measure theory and probability statistics and subfields, conditional expectations and probability distributions, asymptotic theory of estimation and likelihood based inference, optimal statistical tests, confidence sets and U-statistics. Other topics that might be covered include invariance, Edgeworth expansions, and saddle point method.