STAT 610
INTRODUCTION TO STATISTICAL INFERENCE
Conditioning, distribution theory, approximation to distributions, modes of convergence, limit theorems, statistical models, parameter estimation, comparision of estimators, confidence sets, theory of hypothesis tests, introduction to Bayesian inference and nonparametric estimation.
Prerequisites & course information
Requisites: Graduate/professional standing or declared in Statistics VISP Course Designation: Breadth - Physical Science Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026
Sources
- Course catalogue ↗2026-2027