Abstract
ABSTRACT The problem of the minimax estimation of an additive nonparametric regression is considered. The regression function is assumed to belong to an ellipsoid-type subset of L 2([0,1]). We find the necessary and sufficient condition for the quadratic minimax risk to converge to zero.
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