Spring 2024
Meetings:
MW 3:30pm - 5:20pm / PCAR 395
W 5:30pm - 6:20pm / SMI 105
SLN:
13644
Section Type:
Lecture
Instructor:
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OFFERED AS SYNCHRONOUS LEARNING.
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 Met:
Natural Sciences (NSc)
Credits:
5.0
Status:
Active
Last updated:
October 8, 2024 - 4:50 am