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Nonparametric estimation of possibly similar densities

Alan Ker ()

Statistics & Probability Letters, 2016, vol. 117, issue C, 23-30

Abstract: A class of nonparametric methods is developed to estimate a set of possibly similar densities that offers greater efficiency if they are similar while seemingly not losing any if they are not. Theoretical properties and finite sample performance are promising.

Keywords: Multiple density estimation; Combined estimators; Kernel methods (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1016/j.spl.2016.03.010

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