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Department of Public Health Sciences

BMTRY789-04

BMTRY 789-04 Statistical Computing for Research II

DESCRIPTION

This course is intended for PhD Biostatistics students interested in computational methods used in statistical research. The course will cover fundamentals of function approximation, numerical integration, smoothing functions, optimization approaches, and simulation techniques.

TOPICS

  • Newton-Raphson algorithm
  • Expectation-Maximization algorithm
  • Bootstrapping
  • Jackknifing
  • Permutation tests
  • Maximum likelihood estimation
  • Monte Carlo methods

PREREQUITES AND OFFERINGS

BMTRY 700, 701, 702, 706, 707, and 789-02. Typically offered every other summer semester.

 
 
 

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