Asymptotic-based bandwidth selection for the presmoothed density estimator with censored data
From MaRDI portal
Publication:3529837
DOI10.1080/10485250802280226zbMath1145.62027OpenAlexW2168754464WikidataQ61849290 ScholiaQ61849290MaRDI QIDQ3529837
Ricardo Cao, María Amalia Jácome
Publication date: 14 October 2008
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485250802280226
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Nonparametric statistical resampling methods (62G09) Estimation in survival analysis and censored data (62N02)
Related Items (3)
Some heuristics about bandwidth selection for the smooth Kaplan-Meier estimator ⋮ Presmoothed estimation of the density function with truncated and censored data ⋮ Comparison of presmoothing methods in kernel density estimation under censoring
Cites Work
- Unnamed Item
- Comparison of presmoothing methods in kernel density estimation under censoring
- Density and hazard rate estimation for censored data via strong representation of the Kaplan-Meier estimator
- Asymptotically optimal bandwidth selection for kernel density estimators from randomly right-censored samples
- Kernel density and hazard function estimation in the presence of censoring
- Strong consistency properties of nonparametric estimators for randomly censored data. II: Estimation of density and failure rate
- Bootstrap methods: another look at the jackknife
- On semiparametric random censorship models
- Bandwidth selection in density estimation with truncated and censored data
- A comparative study of several smoothing methods in density estimation
- The strong law under semiparametric random censorship models
- Bootstrapping the mean integrated squared error
- Remarks on Some Nonparametric Estimates of a Density Function
- Nonparametric Estimation from Incomplete Observations
- Censored Data and the Bootstrap
- Weak and strong uniform consistency of kernel regression estimates
- Bootstrap Selection of the Smoothing Parameter in Nonparametric Hazard Rate Estimation
- Presmoothed Kaplan–Meier and Nelson–Aalen estimators
- Presmoothed kernel density estimator for censored data
- On Non-Parametric Estimates of Density Functions and Regression Curves
- Almost sure asymptotic representation for the presmoothed distribution and density estimators for censored data
- On Estimation of a Probability Density Function and Mode
This page was built for publication: Asymptotic-based bandwidth selection for the presmoothed density estimator with censored data