Adaptive model selection using empirical complexities

dc.contributor.author	Lugosi, Gábor
dc.contributor.author	Nobel, Andrew B.
dc.contributor.other	Universitat Pompeu Fabra. Departament d'Economia i Empresa
dc.date.issued	1998-06-01
dc.identifier	https://econ-papers.upf.edu/ca/paper.php?id=323
dc.identifier.citation	Annals of Statistics, 27, 6, (1999), pp. 1830-1864
dc.identifier.uri	http://hdl.handle.net/10230/825
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.relation.ispartofseries	Economics and Business Working Papers Series; 323
dc.rights	L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.title	Adaptive model selection using empirical complexities
dc.type	info:eu-repo/semantics/workingPaper
dc.date.modified	2016-09-29T02:50:12Z
dc.subject.keyword	Statistics, Econometrics and Quantitative Methods
dc.subject.keyword	complexity regularization
dc.subject.keyword	classification
dc.subject.keyword	pattern recognition
dc.subject.keyword	regression estimation
dc.subject.keyword	curve fitting
dc.subject.keyword	minimum description length
dc.rights.accessRights	info:eu-repo/semantics/openAccess