Graduate Statistics Courses
Below is a list of graduate courses in statistics (STAT) that the Department offers during the current academic year.
UConn students taking statistics courses have access to a variety of statistical software through the University. Learn more on our Statistical Software page.
Academic Year 2023-2024
Statistics (STAT) Courses
6325. Advanced Probability
3.00 credits
Prerequisites: Open to Ph.D. students who have passed the Ph.D. Qualifying Exam in Statistics, others with permission.
Grading Basis: Graded
Fundamentals of measure and integration theory: fields, o-fields, and measures; extension of measures; Lebesgue-Stieltjes measures and distribution functions; measurable functions and integration theorems; the Radon-Nikodym Theorem, product measures, and Fubini's Theorem. Introduction to measure-theoretic probability: probability spaces and random variables; expectation and moments; independence, conditioning, the Borel-Cantelli Lemmas, and other topics as time allows.