Statistical computing Advanced statistical computing (140.778) (3 units) Second term, 2000-2001 Mon and Wed, 9:00 - 10:30am W4007 Hygiene Summary This is a course in modern statistics (i.e., statistics using the computer), for the sophisticated user of statistics and computers. We will introduce topics in numerical analysis useful for statistical modeling and analysis. We will focus on computing above statistics and algorithms above programming. Example methods include deterministic and stochastic methods for optimization and integration, the EM algorithm, Monte Carlo simulation (both non-iterative and iterative), and kernel density estimation.

Applications include Bayesian hierarchical models, mixture models, time series, nonlinear regression, smoothing, classification, and modern variable selection. Prerequisites: 140.751-752 and 140.771-772 or equivalent; computer programming required (e.g. R/S-Plus/Matlab and/or C/C++/Fortran). Student evaluation will be based on two programming projects (to be done in R/S-Plus/Matlab or whatever else you may prefer).

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