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In this paper, we suggest a new method of bandwidth selection in kernel density estimation. The new selector is less subject to the undersmoothing effect than the AMISE (asymptotic mean integrated square error) optimal bandwidth.
The authors thank two referees for the useful comments which improved the presentation of the paper. This research was supported in part by RFBR grant No. 11–01–00515a.
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