Estimation of a bivariate conditional copula when a variable is subject to random right censoring
From MaRDI portal
Publication:2283572
DOI10.1214/19-EJS1645zbMath1434.62079OpenAlexW2595290096MaRDI QIDQ2283572
Anouar El Ghouch, Taoufik Bouezmarni, Felix Camirand Lemyre
Publication date: 3 January 2020
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1576119709
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)
Cites Work
- Unnamed Item
- Semiparametric estimation of conditional copulas
- Bootstrapping the conditional copula
- Conditional copulas, association measures and their applications
- Kaplan-Meier estimate on the plane
- Consistent nonparametric regression. Discussion
- Estimation and bootstrap with censored data in fixed design nonparametric regression
- Nearest neighbor estimation of a bivariate distribution under random censoring
- Unified methods for censored longitudinal data and causality
- Weak convergence and empirical processes. With applications to statistics
- Estimation of a Conditional Copula and Association Measures
- Dependence Calibration in Conditional Copulas: A Nonparametric Approach
- Uniform strong convergence results for the conditional kaplan-meier estimator and its quantiles
- Non‐parametric Copula Estimation Under Bivariate Censoring
- Weak convergence of the bootstrapped conditional kaplan-meier process and its quantile process
- Inferences on the Association Parameter in Copula Models for Bivariate Survival Data
- Estimation of Bivariate and Marginal Distributions with Censored Data
- Empirical processes indexed by estimated functions
This page was built for publication: Estimation of a bivariate conditional copula when a variable is subject to random right censoring
