MATH 643 - Computational Statistics for Data Science

Overview

Course Title

Computational Statistics for Data Science

Department(s)

Description

n Not open to students who are taking or who have received credit for MATH 343. Topics may include the Score and generalized likelihood ratio tests, chi-squared tests, Kolmogorov-Smirnov test, basic linear model theory, ridge and lasso, Metropolis-within-Gibbs sampling, permutation tests, the bootstrap and survival modeling. Special topics.

Typically Offered

Fall, Spring

Academic Career

Graduate

Credits

Minimum Units

3

Maximum Units

3

Academic Progress Units

3

Repeat For Credit

No

Components

Name

Lecture

Hours

3

Requisites

035833

Course Schedule