Risk bounds for kernel density estimators
Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 14–1, Tome 363 (2009), pp. 66-104

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We use results from probability on Banach spaces and Poissonization techniques to develop sharp finite sample and asymptotic moment bounds for the Lp risk for kernel density estimators. Our results are shown to augment previous work in this area. Bibl. – 19 titles.
@article{ZNSL_2009_363_a4,
     author = {D. M. Mason},
     title = {Risk bounds for kernel density estimators},
     journal = {Zapiski Nauchnykh Seminarov POMI},
     pages = {66--104},
     publisher = {mathdoc},
     volume = {363},
     year = {2009},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/ZNSL_2009_363_a4/}
}
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D. M. Mason. Risk bounds for kernel density estimators. Zapiski Nauchnykh Seminarov POMI, Probability and statistics. Part 14–1, Tome 363 (2009), pp. 66-104. http://geodesic.mathdoc.fr/item/ZNSL_2009_363_a4/