MATH 6740

MATH 6740

Course information provided by the Courses of Study 2014-2015.

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.

When Offered Spring.

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  •  8456 MATH 6740   LEC 001