Strong uniform consistency of a nonparametric estimator of a conditional quantile for censored dependent data and functional regressors
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Publication:4923215
DOI10.1515/ROSE.2011.008zbMath1348.62169MaRDI QIDQ4923215
Elias Ould Saïd, Walid Horrigue
Publication date: 6 June 2013
Published in: Random Operators and Stochastic Equations (Search for Journal in Brave)
kernel estimatorKaplan-Meier estimatorcensored datainfinite dimensionconditional distribution functionsmall-ball probability
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Estimation in survival analysis and censored data (62N02)
Related Items (12)
Nonparametric local linear regression estimation for censored data and functional regressors ⋮ Consistency result of recursive conditional distribution estimate for dependent data under left truncation, with applications to the conditional quantile ⋮ Local linear estimation of the conditional quantile for censored data and functional regressors ⋮ Unnamed Item ⋮ Local linear estimation of the conditional cumulative distribution function: censored functional data case ⋮ Local linear estimation of the conditional mode under left truncation for functional regressors ⋮ Robust regression analysis for a censored response and functional regressors ⋮ Strong consistency of local linear estimation of a conditional density function under random censorship ⋮ Strong convergence of the functional nonparametric relative error regression estimator under right censoring ⋮ Functional data analysis: estimation of the relative error in functional regression under random left-truncation model ⋮ On the nonparametric estimation of the functional \(\psi\)-regression for a random left-truncation model ⋮ Dynamic Modeling of Conditional Quantile Trajectories, With Application to Longitudinal Snippet Data
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