Date: May 20, 2025, 10.00 AM - 14.00 AM

Instructor: Zoltan Brys (TK SZI)

Location: HUN- REN Centre for Social Sciences - 1097 Budapest, Tóth Kálmán u. 4., room K.0.13-14.

Number of participants: max. 15
Course language: English

LASSO (Least Absolute Shrinkage and Selection Operator)regression, a type of penalized regression, effectively addresses the problem of variable selection. It applies an increasing lambda penalty parameter to shrink coefficients, while simultaneously measuring model performance. By employing various methods to define the optimal lambda, LASSO provides a robust approach for variable selection.

Participants will explore the core concept of LASSO and learn to implement, interpret, and report LASSO models through practical examples in R.

No prior knowledge of R is required!