A Greedy Algorithm for Unimodal Kernel Density Estimation by Data Sharpening
We consider the problem of nonparametric density estimation where estimates are constrained to be unimodal. Though several methods have been proposed to achieve this end, each of them has its own drawbacks and none of them have readily-available computer codes. The approach of Braun and Hall (2001),...
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Format: | Article |
Language: | English |
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Foundation for Open Access Statistics
2012-04-01
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Series: | Journal of Statistical Software |
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Online Access: | http://www.jstatsoft.org/v47/i06/paper |