Another bias correction for asymmetric kernel density estimation with a parametric start
2019
This paper studies yet another semiparametric bias-corrected density estimation using asymmetric kernels. The estimator can be obtained by making a multiplicative bias correction for the initial parametric model twice, and it is shown to establish rate improvement when best implemented.
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