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Multivariate nonparametric smoothers, such as kernel based smoothers and thin plate splines smoothers, are adversely impacted by the sparseness of data in high dimension , also known as the curse of dimensionality. Adap-tive smoothers, that can exploit the underlying smoothness of the regression function, may partially mitigate this effect. This paper(More)
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