STSCI 6740

STSCI 6740

Course information provided by the 2016-2017 Catalog.

Focuses on the modern theory of statistical inference, with an emphasis on asymptotic methods. Topics include M-estimation, related exponential inequalities, U-statistic theory as well as nonparametric density and regression estimation. Asymptotic optimality is discussed in relation to the concepts of contiguity and local approximation by normal models. Optional topics may include resampling methods, Bayesian inference, and classification.


Prerequisites/Corequisites Prerequisite: MATH 6710 (measure theoretic probability) and STSCI 6730 /MATH 6730, or permission of instructor.

When Offered Fall.

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Syllabi: none
  •   Regular Academic Session.  Combined with: MATH 6740

  • 4 Credits Stdnt Opt

  • 16761 STSCI 6740   LEC 001

  • Instruction Mode: In Person