Stata Lasso

Analysis
Theoretical and applied statistics
On-site courses
Face-to-face
Remote/Virtual
English
French

Objectives

  • How to master Lasso (least absolute shrinkage and selection operator) methods with Stata for prediction and/or inference on causal parameters. This regression method (typically used in high-dimensional problems) consists of penalizing the absolute size of the regression coefficients.

Please contact us if you would like to have this training course held in English.

Duration
3 hours
Level
Advanced
Audience
Researchers wishing to master the methods to automate feature/variable selection or in the case of highly correlated predictors
Participants
8 people maximum
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