Autoregressive Extremal Random Forests for Value at Risk

Additional Metadata
Thesis Advisor	Zhou, C
Persistent URL	hdl.handle.net/2105/63204
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA 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	Peeters, B.P. (2022, September). Autoregressive Extremal Random Forests for Value at Risk. Econometrie. Retrieved from http://hdl.handle.net/2105/63204

Publication