Empirical L2-distance between regression model and vector space - Les annales de l'ISUP
Article Dans Une Revue Annales de l'ISUP Année : 2019

Empirical L2-distance between regression model and vector space

Résumé

The paper is devoted to the estimation of the square distance between the régression function / and the subspace Ep spanned by the linearly independent functions gi,...,gp. In order to estimate this measure of discreapancy, we propose an empirical L2-distance between / and Ep, without weight and we show that it is invariant with respect to change of basis in Ep.
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Dates et versions

hal-03603880 , version 1 (10-03-2022)

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  • HAL Id : hal-03603880 , version 1

Citer

Zaher Mohdeb, Abdelkader Mokkademr. Empirical L2-distance between regression model and vector space. Annales de l'ISUP, 2019, 63 (2-3), pp.166-172. ⟨hal-03603880⟩
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