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

INF 511 - Modern Regression I

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: Spring 2024 Fall 2024

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