Geodesic
Non-uniform Randomized Sampling for Multivariate Approximation by High Order Parzen Windows
Canadian mathematical bulletin, Tome 54 (2011) no. 3, pp. 566-576

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DOI

We consider approximation of multivariate functions in Sobolev spaces by high order Parzen windows in a non-uniform sampling setting. Sampling points are neither i.i.d. nor regular, but are noised from regular grids by non-uniform shifts of a probability density function. Sample function values at sampling points are drawn according to probability measures with expected values being values of the approximated function. The approximation orders are estimated by means of regularity of the approximated function, the density function, and the order of the Parzen windows, under suitable choices of the scaling parameter.
DOI : 10.4153/CMB-2011-029-8
Mots-clés : 68T05, 62J02, multivariate approximation, Sobolev spaces, non-uniform randomized sampling, high order Parzen windows, convergence rates 
Zhou, Xiang-Jun; Shi, Lei; Zhou, Ding-Xuan. Non-uniform Randomized Sampling for Multivariate Approximation by High Order Parzen Windows. Canadian mathematical bulletin, Tome 54 (2011) no. 3, pp. 566-576. doi: 10.4153/CMB-2011-029-8
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     author = {Zhou, Xiang-Jun and Shi, Lei and Zhou, Ding-Xuan},
     title = {Non-uniform {Randomized} {Sampling} for {Multivariate} {Approximation} by {High} {Order} {Parzen} {Windows}},
     journal = {Canadian mathematical bulletin},
     pages = {566--576},
     year = {2011},
     volume = {54},
     number = {3},
     doi = {10.4153/CMB-2011-029-8},
     url = {http://geodesic.mathdoc.fr/articles/10.4153/CMB-2011-029-8/}
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