MATH 6730 — Mathematical Statistics I
General Information
This class will cover fundamental concepts in mathematical statistics, including both finite sample and asymptotic theory. Specific topics include: elements of risk optimality, Cramer-Rao-type bounds; M-estimation with an emphasis on Maximum Likelihood Estimation, asymptotic efficiency, asymptotic testing under fixed and local alternatives; multiple testing under FDR control; estimation in high dimensions and adaptation to sparsity, the analysis of Lasso-type estimators; elements of concentration inequalities.
Full Cornell course description (SP26)
Credits: 3
Prerequisites and Enrollment
Prerequisites: STSCI 4090/BTRY 4090, MATH 6710 or permission of instructor.
Recorded Offerings
| Semester | Listed instructors | Course details |
|---|---|---|
| Spring 2026 | Florentina Bunea | Roster / syllabus |
Workload and General Advice
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Course information checked against Cornell’s Spring and Fall 2026 rosters on September 18, 2026. The listed semesters are verified examples, not a complete offering history.