PhD defence: Marcela Galvis Restrepo

In order to obtain the PhD degree, Marcela Galvis Restrepo has submitted his thesis entitled: Feature reduction for classification with mixed data An algorithmic approach

Thursday, November 17, 2022 - 15:00 to 17:00

Marcela Galvis Restrepo

The thesis consists of four papers dealing with the design or application of supervised classification with mixed data. Using generalized linear models, the first two papers suggest methodologies to reduce the number of coefficients associated with categorical predictors and their interactions. In the third paper, predictive modeling is applied to the problem of school dropout in Colombia, and strategies are suggested for targeting at-risk students. Using feature shrinkage, the fourth paper proposes a method to enhance the trade-off between accuracy and unfairness in supervised learning.


Primary Supervisor:
Professor Dolores Romero Morales

Department of Economics

Copenhagen Business School


Secondary Supervisors:

Professor Emilio Carrizosa

Instituto de Matemáticas

Universidad de Sevilla


Associate Professor Fane Groes

Department of Economics

Copenhagen Business School


Assessment Committee:

Associate Professor Moira Daly (Chair)

Department of Economics

Copenhagen Business School


Associate Professor Jochen De Weerdt

Faculty of Economics and Business

Katholieke Universiteit Leuven


Full Professor Sebastian Maldonado

Universidad de Chile


The thesis will be available from


The CBS PhD School will host a reception, which will take place immediately after the defence in ECONS Kitchen at Porcelænshaven (3th. Floor).

Organised by

CBS PhD School






Copenhagen Business School
2000 Frederiksberg
Room: PH16A 2.80


It will also be possible to attend the defence via Microsoft Teams at the following link:


*Please note in connection with the online defence that the microphone and camera of all spectators must be turned off!


The page was last edited by: Sekretariat for Ledelse og Kommunikation // 07/11/2023