Resistant estimates for high dimensional and functional data based on random projections

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dc.creator.AutorFraiman, Ricardo
dc.creator.AutorSvarc, Marcela
dc.date.accessioned2012-07-06T14:21:16Z
dc.date.available2012-07-06T14:21:16Z
dc.date.issued2011
dc.descriptionFil: Fraiman, Ricardo. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina.
dc.descriptionFil: Svarc, Marcela. Universidad de San Andrés. Departamento de Matemática y Ciencias; Argentina.
dc.description.abstractWe herein propose a new robust estimation method based on random pro- jections that is adaptive and, automatically produces a robust estimate, while enabling easy computations for high or in nite dimensional data. Under some re- stricted contamination models, the procedure is robust and attains full e ciency. We tested the method using both simulated and real data.
dc.formatapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10908/637
dc.languageeng
dc.publisherUniversidad de San Andrés. Departamento de Matemáticas y Ciencias
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleResistant estimates for high dimensional and functional data based on random projections
dc.typeDocumento de Trabajo
dc.typeinfo:eu-repo/semantics/workingPaper
dc.typeinfo:ar-repo/semantics/documento de trabajo
dc.typeinfo:eu-repo/semantics/draft
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