Multidimensional smoothing using hyperbolic interpolatory wavelets
Electronic transactions on numerical analysis, Tome 17 (2004), pp. 168-180
We propose the application of hyperbolic interpolatory wavelets for large-scale -dimensional data
fitting. In particular, we show how wavelets can be used as a highly efficient tool for multidimensional smoothing. The grid underlying these wavelets is a sparse grid. The hyperbolic interpolatory wavelet space of level
uses basis functions and it is shown that under sufficient smoothness an approximation error of order
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Classification :
65C60, 65D10, 65T60
Keywords: sparse grids, predictive modelling, wavelets, smoothing, data mining
Keywords: sparse grids, predictive modelling, wavelets, smoothing, data mining
@article{ETNA_2004__17__a4,
author = {Hegland, Markus and Nielsen, Ole M. and Shen, Zuowei},
title = {Multidimensional smoothing using hyperbolic interpolatory wavelets},
journal = {Electronic transactions on numerical analysis},
pages = {168--180},
year = {2004},
volume = {17},
zbl = {1065.65007},
language = {en},
url = {http://geodesic.mathdoc.fr/item/ETNA_2004__17__a4/}
}
TY - JOUR AU - Hegland, Markus AU - Nielsen, Ole M. AU - Shen, Zuowei TI - Multidimensional smoothing using hyperbolic interpolatory wavelets JO - Electronic transactions on numerical analysis PY - 2004 SP - 168 EP - 180 VL - 17 UR - http://geodesic.mathdoc.fr/item/ETNA_2004__17__a4/ LA - en ID - ETNA_2004__17__a4 ER -
Hegland, Markus; Nielsen, Ole M.; Shen, Zuowei. Multidimensional smoothing using hyperbolic interpolatory wavelets. Electronic transactions on numerical analysis, Tome 17 (2004), pp. 168-180. http://geodesic.mathdoc.fr/item/ETNA_2004__17__a4/