Density estimation is a fundamental component in statistical analysis, aiming to infer the probability distribution of a random variable from a finite sample without imposing restrictive parametric ...
The Canadian Journal of Statistics / La Revue Canadienne de Statistique Kraft, Lepage, and van Eeden (1985) have suggested using a symmetrized version of the kernel estimator when the true density f ...
The local linear smoother usually gives better performance than the Nadaraya-Watson smoother. An exception is the case of data sparsity. Here we discuss a modification of the Nadaraya--Watson smoother ...
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