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Informatics and Computing
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 PhD, Informatics and Computing MS, Computer Science MS, or Electrical Engineering MS
Informatics and Computing
Term : Summer 2021
Catalog Year : 2020-2021
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 PhD, Informatics and Computing MS, Computer Science MS, or Electrical Engineering MS