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.
Introduction to time series analysis covering stationarity, AR/MA models, and forecasting applications.
Offering recorded · Fall 2026
Historical reviews of Panduan An: Reviewers describe the course as difficult, with homework questions being very hard and a high drop rate before the midterm. The lecture pace is often too fast to take notes, and prereqs do not adequately prepare students for the workload.
STAT 610 introduces statistical inference, covering distribution theory, limit theorems, parameter estimation, hypothesis testing, Bayesian inference, and nonparametric estimation.
Offering recorded · Fall 2026
Historical reviews of Wei-Yin Loh: Assignments and exams are described as too tricky, with a useless textbook even for open-book exams, potentially causing students to quit before mid-term.