Biostatistics 248 -- Advanced Statistical Computing
Course Description: Computer arithmetic, matrix algebra, numerical optimization with application to MLEs and GEEs, spline smoothing, numerical integration, random number generation, simulation methods, Gibbs sampling, bootstrap methods, missing data and EM, imputation, and data augmentation algorithms.

This class is at the Graduate level
Instructor: Paul J. Catalano (Public Health)
Prerequisites: Students should be proficient with C or Fortran programming. Biostatistics 235 or signature of instructor required.

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