36-705 Intermediate Statistics

This course covers the fundamentals of theoretical statistics. Topics include: concentration of measure, basic empirical process theory, convergence, point and interval estimation, maximum likelihood, hypothesis testing, Bayesian inference, nonparametric statistics and bootstrap re-sampling. This course is excellent preparation for advanced work in Statistics and Machine Learning. See below for a detailed schedule.

Course Syllabus

The syllabus provides information on grading, class policies etc.

Lecture Notes