ECON 484 A: Econometrics and Data Science

Spring 2021
Meetings:
MW 5:30pm - 7:20pm / * *
W 7:30pm - 8:20pm / * *
SLN:
13603
Section Type:
Lecture
Instructor:
GO TO HTTP://ECON.WASHINGTON.EDU/ADD- CODE-REQUESTS-POLICY FOR ADD CODE INFO. OFFERED AS SYNCHRONOUS LEARNING. OFFERED VIA REMOTE 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:
April 17, 2024 - 7:21 am