STSCI 6730

Last Updated

  • Schedule of Classes - October 15, 2026 7:07PM EDT

STSCI 6730
Mathematical Statistics I

Course information provided by the 2026-2027 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 or MATH 6710 or permission of instructor.

Last 4 Terms Offered 2026SP, 2025SP, 2024SP, 2023SP

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Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  •  8784 STSCI 6730   LEC 001

  •  
    • T
    • Jan 25 - May 11, 2027

    • Staff

  • Instruction Mode: In Person

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