Informatics and Computing
Term : Fall 2019
Catalog Year : 2019-2020

INF 511 - Modern Regression I

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Description: Matrix-based coverage of linear statistical models for independent data from frequentist and Bayesian perspectives, including regression, analysis of variance (ANOVA), estimation, testing, selection, diagnostics, and associated random variables and probability distributions. Letter grade only.

Units: 3

Sections offered: Fall 2019

Prerequisite: Admission to Informatics and Computing Ph.D., STA 270, ((MAT 136, MAT 137) or MAT 131))