STSCI 6730

STSCI 6730

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: MATH 6730

  • 3 Credits Opt NoAud

  • 17234 STSCI 6730   LEC 001

    • T
    • Jan 20 - May 5, 2026
    • Bunea, F

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/