PHST 710

Advanced Statistical Computing I

The intent of this course is to develop knowledge of a statistical programming language and computational methods that are essential to statistics. The course primarily focuses on the R programming language and covers a variety of programming topics related to R (vectorization, data l/O, object-oriented programming, and building R packages). Statistical and computational methods that are covered include visualization (basic and lattice graphics), data smoothing, optimization (Newton-Raphson and EM-algorithm), matrix factorization, simulation (inverse transform and acceptance-rejection methods, power and size of a test), numerical integration, resampling (bootstrap and permutation tests), and other modern statistical methods

Units: 3.0