Estimation of the conditional distribution in regression with censored data: a comparative study.

DOI10.1016/S0167-9473(00)00025-6zbMath1080.62515OpenAlexW2151645840MaRDI QIDQ5940835

Ingrid Van Keilegom, Michael G. Akritas, Noël Veraverbeke

Publication date: 20 August 2001

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(00)00025-6

zbMATH Keywords

Nonparametric regressionConditional distributionHeteroscedasticityRight censoringStanford heart transplant data

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (16)

A dimension reduction approach for conditional Kaplan-Meier estimators ⋮ Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data ⋮ Efficient prediction for linear and nonlinear autoregressive models ⋮ Learning dynamic algorithm portfolios ⋮ Probability of default estimation in credit risk using a nonparametric approach ⋮ Nonparametric location-scale models for censored successive survival times ⋮ Nonparametric estimation of a conditional distribution from length-biased data ⋮ Bandwidth selection for the estimation of transition probabilities in the location-scale progressive three-state model ⋮ Non‐parametric Quantile Regression with Censored Data ⋮ Comparison of kernel estimators of conditional distribution function and quantile regression under censoring ⋮ Semiparametric quantile regression with random censoring ⋮ Improving the estimation of Kendall's tau when censoring affects only one of the variables ⋮ Transfer of tail information in censored regression models ⋮ Nonparametric estimation of the conditional survival function for bivariate failure times ⋮ Nonparametric Model-Based Estimators for the Cumulative Distribution Function of a Right Censored Variable in a Small Area ⋮ Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model

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