BTRY 6520

Last Updated

  • Schedule of Classes - May 15, 2019 12:56PM EDT
  • Course Catalog - March 4, 2019 1:00PM EST

BTRY 6520
Computationally Intensive Statistical Methods

Course information provided by the 2018-2019 Catalog.

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.


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

When Offered Spring.

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Syllabi: none

  •   Regular Academic Session.  Combined with: STSCI 6520

  • 4 Credits Stdnt Opt

  • 16358 BTRY 6520   LEC 001

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  • Instruction Mode: In Person