Least-Squares, Sentinels and Substractive Optimally Localized Average

Abstract : We present with unified notations three approaches to linear parameter estimation: least-squares, sentinels, and Substrative Optimally Localized Average (SOLA). It becomes then obvious that the two last approaches correspond to the very same mathematical problem. This brings a new interpretation to sentinels, new computational tools to SOLA, and makes clear their link to the classical least-squares approach.
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Rapport
[Research Report] RR-3332, INRIA. 1998
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https://hal.inria.fr/inria-00073357
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Soumis le : mercredi 24 mai 2006 - 12:36:42
Dernière modification le : samedi 17 septembre 2016 - 01:35:40
Document(s) archivé(s) le : dimanche 4 avril 2010 - 23:43:43

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Guy Chavent. Least-Squares, Sentinels and Substractive Optimally Localized Average. [Research Report] RR-3332, INRIA. 1998. 〈inria-00073357〉

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