Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.
Introduction to probability and mathematical statistics covering distributions, moments, and estimation.
Offering recorded · Fall 2026
The workload includes ten homeworks, one midterm, and one final, with exams described as easy if students engage with the provided materials.
historical GPA · grades
Spring 2022–Spring 2026Introduction 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.
historical GPA · grades
Spring 2022–Spring 2026Mathematical Statistics I introduces measure theoretic probability, high-dimensional statistics, and large sample theory methods.
Offering recorded · Fall 2026
Historical reviews of Yazhen Wang: Reviewers characterize the class as very hard, with a difficulty rating of 4.
historical GPA · grades
Fall 2022–Fall 2025 · limited sampleIntroduction 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.
historical GPA · grades
Spring 2022–Spring 2026Introduction 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.
historical GPA · grades
Fall 2022–Fall 2025STAT 601 provides a thorough grounding in modern statistical methods, covering data collection, exploration, probability, and analysis.
Offering recorded · Fall 2026
Historical reviews of Vivak Patel: Reviewers describe a heavy workload with difficult projects and expect students to do significant independent work, noting that graduate-level rigor requires hard work.
historical GPA · grades
Spring 2022–Fall 2025STAT 681 is a mentored individual study course for students writing an honors thesis.
Offering recorded · Fall 2026
No recorded grade history
STAT 682 is a mentored individual study course for students writing an honors thesis.
Offering recorded · Fall 2026
historical GPA · grades
Spring 2022–Spring 2022 · limited sampleSTAT 699 is a directed study course where students engage in projects arranged with a faculty member.
Offering recorded · Fall 2026
A directed study with Cecile Ane focused on genuine learning and conceptual understanding rather than just completion.
historical GPA · grades
Spring 2022–Spring 2022 · limited sampleSTAT 701 covers the theory and application of discrete time series models, focusing on forecasting, model building, and diagnostic checking.
Offering recorded · Fall 2026
historical GPA · grades
Spring 2022–Spring 2025 · limited sampleSTAT 849 provides advanced grounding in modern statistical methods and theory, covering regression, experimental design, and model selection.
Offering recorded · Fall 2026
STAT 990 is an independent research and writing course for graduate students under faculty supervision.
Offering recorded · Fall 2026
No recorded grade history
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.
historical GPA · grades
Fall 2022–Spring 2026