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 projections that is adaptive and, automatically produces a robust estimate, while enabling easy computations for high or infinite dimensional data. Under some restricted contamination models, the procedure is robust and attains full efficiency. 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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