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Statistics
Description: Computationally intensive statistical methods. Topics include nonparametric methods such as bootstrapping and permutation tests, and general-purpose algorithms such as Markov chain Monte Carlo and gradient descent. Also covered are practical issues about data storage, verification, and cleaning. Emphasis placed on both underlying statistical concepts and implementing resulting algorithms in a high-level mathematical programing language. Letter grade only. Course fee required.
Units: 3
Sections offered: Fall 2024
Prerequisite: (STA 371, STA 471, STA 571, CS 122 or admission to Statistics MS
Statistics
Term : Summer 2017
Catalog Year : 2016-2017
STA 578 - Statistical Computing
Description: Computationally intensive statistical methods. Topics include nonparametric methods such as bootstrapping and permutation tests, and general-purpose algorithms such as Markov chain Monte Carlo and gradient descent. Also covered are practical issues about data storage, verification, and cleaning. Emphasis placed on both underlying statistical concepts and implementing resulting algorithms in a high-level mathematical programing language. Letter grade only. Course fee required.
Units: 3
Sections offered: Fall 2024
Prerequisite: (STA 371, STA 471, STA 571, CS 122 or admission to Statistics MS