@inbook{4628716bb41f4d72b2997e4527a9857d,
title = "Optimal Kernel Selection for Density Estimation",
abstract = "We provide new general kernel selection rules thanks to penalized least-squares criteria. We derive optimal oracle inequalities using adequate concentration tools. We also investigate the problem of minimal penalty as described in Birg{\'e} and Massart (2007, Probab. Theory Relat. Fields, 138(1–2):33–73).",
keywords = "Density estimation, Kernel estimators, Minimal penalty, Optimal penalty, Oracle inequalities",
author = "Matthieu Lerasle and Magalh{\~a}es, \{Nelo Molter\} and Patricia Reynaud-Bouret",
note = "Publisher Copyright: {\textcopyright} 2016, Springer International Publishing Switzerland.",
year = "2016",
month = jan,
day = "1",
doi = "10.1007/978-3-319-40519-3\_19",
language = "English",
series = "Progress in Probability",
publisher = "Birkhauser",
pages = "425--460",
booktitle = "Progress in Probability",
}