Informatics and Computing
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 2024
Requirement Designation:
Prerequisite: Admission to Informatics and Computing PhD, Informatics and Computing MS, Computer Science MS, or Electrical Engineering MS