ECON 484 A: Econometrics and Data Science

Meetings: 
MW 5:30pm - 7:20pm / SMI 102
W 7:30pm - 8:20pm / SMI 102
SLN: 
13383
Instructor:
Greg Duncan
Gregory M Duncan
Catalog Description: 
Advanced continuation of ECON 482 and ECON 483. Traditional topics: structural modeling, non-linear and logistic regression, the LASSO, and non-traditional topics: regression and classification trees, bagging, boosting, and random forests. Computer based, uses the R language, emphasizing interpretation, not formal proofs. Prerequisite: ECON 482; MATH 126.
GE Requirements: 
Natural World (NW)
Credits: 
5.0
Status: 
Active
Last updated: 
October 17, 2018 - 9:04pm