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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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https://hal.inria.fr/inria-00073357
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 12:36:42 PM
Last modification on : Friday, May 25, 2018 - 12:02:03 PM
Long-term archiving on: : Sunday, April 4, 2010 - 11:43:43 PM

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  • HAL Id : inria-00073357, version 1

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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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