Term : Winter 2020
Catalog Year : 2020-2021

STA 478 - Statistical Computing

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Description: Computationally intensive statistical methods. Topics include statistical learning (cross-validation, GAMs, classification and regression trees), nonparametric methods (bootstrapping and permutation tests) as well as general-purpose algorithms (MCMC). Emphasis placed on both underlying statistical concepts and implementing resulting algorithms in a high-level mathematical programming language on non-tidy data. Co-convened with STA 578. Letter grade only.

Units: 3

No sections currently offered.

Prerequisite: (STA 471 with a grade of C or better) and STA 445