STSCI 6730
Last Updated
- Schedule of Classes - October 31, 2025 7:07PM EDT
Classes
STSCI 6730
Course Description
Course information provided by the 2025-2026 Catalog.
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.
Prerequisites STSCI 4090/BTRY 4090, MATH 6710 or permission of instructor.
Last 4 Terms Offered 2025SP, 2024SP, 2023SP, 2022SP
Regular Academic Session. Combined with: MATH 6730
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
- T
- Jan 20 - May 5, 2026
Instructors
Bunea, F
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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