A weighted estimator of conditional hazard rate with left-truncated and dependent data
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Publication:1695759
DOI10.1007/s10463-016-0587-4zbMath1383.62216OpenAlexW2540732931MaRDI QIDQ1695759
Elias Ould Saïd, Han-Ying Liang
Publication date: 8 February 2018
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10463-016-0587-4
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)
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Cites Work
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- Asymptotic normality of conditional density estimation with left-truncated and dependent data
- A weighted quantile regression for randomly truncated data
- Local linear regression for functional data
- Local linear hazard rate estimation and bandwidth selection
- Empirical likelihood ratio confidence regions
- Smoothing parameter selection in hazard estimation
- Asymptotic properties of the kernel estimator of the conditional mode for the left truncated model
- Berry-Esseen type bounds of estimators in a semiparametric model with linear process errors
- The central limit theorem under random truncation
- Nonparametric conditional hazard rate estimation: a local linear approach
- Nonparametric quantile estimation with correlated failure time data
- Hazard rate estimation in nonparametric regression with censored data
- Local polynomial estimation of a conditional mean function with dependent truncated data
- Estimation of the truncation probability in the random truncation model
- Nonlinear time series. Nonparametric and parametric methods
- Almost sure representations of the product-limit estimator for truncated data
- Asymptotic properties of a nonparametric regression function estimator with randomly truncated data
- A local linear estimation of conditional hazard function in censored data
- Weak dependence. With examples and applications.
- Weighted nonparametric regression estimation with truncated and dependent data
- Non-parametric hazard function estimation using the Kaplan–Meier estimator
- Hazard function given a functional variable: Non-parametric estimation under strong mixing conditions
- Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems
- Intentionally Biased Bootstrap Methods
- Hazard rate estimation for strong-mixing and censored processes
- Methods for Estimating a Conditional Distribution Function
- Local linear variable bandwidth hazard rate estimation
- Strong Consistency Rate for the Kernel Mode Estimator Under Strong Mixing Hypothesis and Left Truncation
- Estimating a distribution function with truncated data
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