A semiparametric copula-based estimation of the regression function for right-censored data
DOI10.1080/02331888.2019.1682582zbMath1435.62352OpenAlexW2982506287MaRDI QIDQ5213357
Yassir Rabhi, Taoufik Bouezmarni, Charles Fontaine
Publication date: 3 February 2020
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: http://repository.essex.ac.uk/27337/9/A%20semiparametric%20copula-based%20estimation%20of%20the%20regression%20function.pdf
Kaplan-Meier estimatorcensored dataregression functionparametric copula modelssemiparametric copula-based estimation
Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Estimation in survival analysis and censored data (62N02)
Cites Work
- Improved kernel estimation of copulas: weak convergence and goodness-of-fit testing
- Comparison of semiparametric and parametric methods for estimating copulas
- Density and hazard rate estimation for censored data via strong representation of the Kaplan-Meier estimator
- Large-sample properties for a general estimator of the treatment effect in the two-sample problem with right censoring
- Estimating the density of a copula function
- Regression with censored data
- Inferences on the Association Parameter in Copula Models for Bivariate Survival Data
- A semiparametric estimation procedure of dependence parameters in multivariate families of distributions
- Nonparametric Inference for Copulas and Measures of Dependence Under Length-Biased Sampling and Informative Censoring
- Copula-Based Regression Estimation and Inference
- Nonparametric estimation of copula functions for dependence modelling
- Some Observations on Copula Regression Functions
This page was built for publication: A semiparametric copula-based estimation of the regression function for right-censored data
