Analysing the Performance of &#8467;1-Regularised Regression Techniques for the Graphical Modelling of High-Dimensional Binary Data

Additional Metadata
Keywords	graphical models; regularised regression techniques; bootstrap aggregating; high-dimensional binary data
Thesis Advisor	Touw, DJW
Persistent URL	hdl.handle.net/2105/73773
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Goes, E.M.A. (2024). Analysing the Performance of ℓ1-Regularised Regression Techniques for the Graphical Modelling of High-Dimensional Binary Data. In Econometrie.http://hdl.handle.net/2105/73773

Analysing the Performance of ℓ1-Regularised Regression Techniques for the Graphical Modelling of High-Dimensional Binary Data