A strong uniform convergence rate of a kernel conditional quantile estimator under random left-truncation and dependent data

DOI10.1214/08-EJS306zbMath1326.62085arXiv0810.1156OpenAlexW2964132973MaRDI QIDQ1951986

Abdelhakim Necir, Djabrane Yahia, Elias Ould Saïd

Publication date: 27 May 2013

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0810.1156

zbMATH Keywords

rate of convergencestrong mixingkernel estimatortruncated datastrong uniform consistencyquantile function

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (6)

Conditional Quantile Estimation for Truncated and Associated Data ⋮ Conditional quantile estimation with truncated, censored and dependent data ⋮ Asymptotic Normality of a Kernel Conditional Quantile Estimator Under Strong Mixing Hypothesis and Left-Truncation ⋮ On the Strong Consistency of the Kernel Estimator of Extreme Conditional Quantiles ⋮ Conditional quantile estimation with auxiliary information for left-truncated and dependent data ⋮ Asymptotic normality of conditional density estimation with left-truncated and dependent data

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