Block thresholding for a density estimation problem with a change-point
نویسنده
چکیده
We consider a density estimation problem with a change-point. We develop an adaptive wavelet estimator constructed from a block thresholding rule. Adopting the minimax point of view under the Lp risk (with p ≥ 1) over Besov balls, we prove that it is near optimal.
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