Recursive asymmetric kernel density estimation for nonnegative data

Yoshihide Kakizawa

Journal of Nonparametric Statistics, 2021, vol. 33, issue 2, 197-224

Abstract: Recursive nonparametric density estimation for nonnegative data is considered, using an asymmetric kernel with nonnegative support. It has a computational advantage in a situation where a huge number of data are sequentially collected. The recursive asymmetric kernel estimator keeps desirable asymptotic properties similar to the ordinary non-recursive asymmetric kernel estimator. Also, simulation studies and a real data analysis are performed for illustration.

Date: 2021
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DOI: 10.1080/10485252.2021.1928120

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