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DSES-6130

Statistical Computing

A course on modern computational and graphical statistics. It covers topics that are currently active in real world applications including biotechnology and information technology. The topics include stochastic simulation, importance sampling, Gibbs sampling, data visualization, dimensionality reduction, model selection, data smoothing techniques, and methods for pattern recognition. Prerequisites: DSES-4140 or DSES-4760 (MATP-4620), or DSES-6110. Fall term annually.

3 credit hours
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