We connect the approximation theoretic notions of polynomial norming mesh and Tchakaloff-like quadrature to the statistical theory of optimal designs, obtaining near optimal polynomial regression at a near optimal number of sampling locations on domains with different shapes.

Near optimal polynomial regression on norming meshes

Bos L.;Piazzon F.;Vianello M.
2019

Abstract

We connect the approximation theoretic notions of polynomial norming mesh and Tchakaloff-like quadrature to the statistical theory of optimal designs, obtaining near optimal polynomial regression at a near optimal number of sampling locations on domains with different shapes.
2019
2019 13th International Conference on Sampling Theory and Applications, SampTA 2019
13th International Conference on Sampling Theory and Applications, SampTA 2019
978-1-7281-3741-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3337868
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