BTRY 6520

BTRY 6520

Course information provided by the Courses of Study 2018-2019.

Modern statistical methods routinely used in practice for analyzing large, complex datasets require intensive computation. This course covers topics in statistical computing, including numerical optimization and finding zeros (likelihood and related techniques), random number generation and Monte Carlo methods, bootstrap and subsampling, dimension reduction, nonlinear predictive modeling and parallel computing. Programming will be done in R.

When Offered Spring.

Prerequisites/Corequisites Corequisite: ORIE 6700 or MATH 6730 (or equivalent) and at least one course in probability, or permission of instructor.

View Enrollment Information

  •   Regular Academic Session.  Combined with: STSCI 6520

  • 4 Credits Stdnt Opt

  • 16358 BTRY 6520   LEC 001