Academic Catalog

Informatics and Computing
Term : Fall 2022
Catalog Year : 2022-2023

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: Fall 2022 Prerequisite: Admission to Informatics and Computing PhD, Informatics and Computing MS, Computer Science MS, or Electrical Engineering MS

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 2022

Prerequisite: Admission to Informatics and Computing PhD, Informatics and Computing MS, Computer Science MS, or Electrical Engineering MS