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Varying kernel density estimation on ℝ(+)
In this article a new nonparametric density estimator based on the sequence of asymmetric kernels is proposed. This method is natural when estimating an unknown density function of a positive random variable. The rates of Mean Squared Error, Mean Integrated Squared Error, and the L(1)-consistency ar...
Tallennettuna:
| Julkaisussa: | Stat Probab Lett |
|---|---|
| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2012
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4699449/ https://ncbi.nlm.nih.gov/pubmed/26740729 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.spl.2012.03.033 |
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