Introduction to mathematical statistical inference, focusing on likelihood, estimation, and hypothesis testing.
Offering recorded · Fall 2026
The course is described as difficult and intense, with long homeworks, high-stakes exams, and a significant gap between lecture content and test material.
Introduction to mathematical statistics covering probability, distributions, the central limit theorem, and estimation.
Offering recorded · Fall 2026
Historical reviews of Amy Beyler, Derek Bean, Yaoguo Xie: Workload and difficulty vary significantly by instructor. Some report high-quality materials and fair tests, while others describe difficult exams and a need for extensive self-study to gain solid knowledge.
STAT 461 teaches advanced statistical methodologies for modern finance, including discrete and continuous stochastic models.
Offering recorded · Fall 2026
Historical reviews of Yazhen Wang: Reviewers found homeworks difficult and exams tricky, noting that the lack of a textbook and study aids made preparation challenging.
STAT 479 covers special topics in statistics of interest to undergraduate students.
Offering recorded · Fall 2026
Historical reviews of John Gillett, Karl Rohe, Kris Sankaran: Workload varies by instructor; Gillett’s course required independent Linux learning and debugging, while Sankaran’s recent term involved graduate-level assignments. Sankaran’s earlier terms featured spread-out homeworks, and Rohe provided few guidelines.
STAT 992 is a graduate-level seminar covering special topics in statistics, with subject matter varying by offering.
Offering recorded · Fall 2026
Historical reviews of Joshua Cape: The review does not specify workload or difficulty, only noting the material is delivered in an easy-to-understand way.