Nonparametric conditional density estimation for censored data based on a recursive kernel

DOI10.1214/14-EJS960zbMath1309.62066MaRDI QIDQ485911

Salah Khardani, Sihem Semmar

Publication date: 14 January 2015

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

Full work available at URL: https://projecteuclid.org/euclid.ejs/1418134263

zbMATH Keywords

asymptotic normalityconditional densitykernel estimatorKaplan-Meier estimatorcensored datarecursive estimationuniform almost sure convergence

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Estimation in multivariate analysis (62H12) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items (6)

Reweighted Nadaraya-Watson estimation of conditional density function in the right-censored model ⋮ Non parametric estimation of the conditional density function with right-censored and dependent data ⋮ Kernel estimation of the conditional density under a censorship model ⋮ Unnamed Item ⋮ A nonparametric estimation of the conditional ageing intensity function in censored data: a local linear approach ⋮ Recursive kernel density estimation and optimal bandwidth selection under \(\alpha\): mixing data

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