This paper deals with uniform consistency and uniform confidence bands for the quantile function and its derivatives. We describe a kernel local polynomial estimator of quantile function and give uniform consistency. Furthermore, we derive its maximal deviation limit distribution using an approximation in the spirit of Bickel and Rosenblatt [P.J. Bickel and M. Rosenblatt, Ann. Statist. 1 (1973) 1071-1095].
Keywords: uniform confidence bands, conditional quantile estimation
@article{PS_2014__18__265_0,
author = {Sabbah, Camille},
title = {Uniform {Confidence} {Bands} for {Local} {Polynomial} {Quantile} {Estimators}},
journal = {ESAIM: Probability and Statistics},
pages = {265--276},
year = {2014},
publisher = {EDP Sciences},
volume = {18},
doi = {10.1051/ps/2013035},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ps/2013035/}
}
TY - JOUR AU - Sabbah, Camille TI - Uniform Confidence Bands for Local Polynomial Quantile Estimators JO - ESAIM: Probability and Statistics PY - 2014 SP - 265 EP - 276 VL - 18 PB - EDP Sciences UR - https://www.numdam.org/articles/10.1051/ps/2013035/ DO - 10.1051/ps/2013035 LA - en ID - PS_2014__18__265_0 ER -
Sabbah, Camille. Uniform Confidence Bands for Local Polynomial Quantile Estimators. ESAIM: Probability and Statistics, Tome 18 (2014), pp. 265-276. doi: 10.1051/ps/2013035
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