Finite computation of the ℓ 1estimator from Huber's M-estimator in linear regression

dc.citation.epage384en_US
dc.citation.issueNumber3-4en_US
dc.citation.spage365en_US
dc.citation.volumeNumber72en_US
dc.contributor.authorPınar, M. Ç.en_US
dc.date.accessioned2018-04-12T13:43:58Z
dc.date.available2018-04-12T13:43:58Z
dc.date.issued2004en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractWe review and extend previous work on the approximation of the linear ℓ 1 estimator by the Huber M-estimator based on the algorithms proposed by Clark and Osborne, and Madsen and Nielsen. Although the Madsen-Nielsen algorithm is a promising one, it is guaranteed to terminate finitely under certain assumptions. We describe a variant of the Madsen-Nielsen algorithm to compute the ℓ 1 estimator from the Huber M-estimator in a finite number of steps without any restrictive steps nor assumptions. Summary computational results are given.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T13:43:58Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2004en
dc.identifier.issn0010-485X
dc.identifier.urihttp://hdl.handle.net/11693/38075
dc.language.isoEnglishen_US
dc.source.titleComputingen_US
dc.subjectMultiple linear regressionen_US
dc.subjectThe ‘1 estimatoren_US
dc.subjectHuber’s M-estimatoren_US
dc.subjectFinite algorithmsen_US
dc.titleFinite computation of the ℓ 1estimator from Huber's M-estimator in linear regressionen_US
dc.typeArticleen_US

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