An assessment of finite sample performance of adaptive methods in density estimation
From MaRDI portal
Publication:1606486
DOI10.1016/S0167-9473(98)00070-XzbMath1061.62526WikidataQ127027717 ScholiaQ127027717MaRDI QIDQ1606486
Mark Farmen, James Stephen Marron
Publication date: 29 July 2002
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Related Items
A plug-in rule for bandwidth selection in circular density estimation, Relative efficiency of local bandwidths in kernel density estimation∗, 3D visual data mining -- goals and experiences, Estimation in hazard regression models under ordered departures from proportionality, Local bandwidth selectors for deconvolution kernel density estimation, Numerical results concerning a sharp adaptive density estimator
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Local data-driven bandwidth choice for density estimation
- Practical performance of several data driven bandwidth selectors
- Using non-stochastic terms to advantage in kernel-based estimation of integrated squared density derivatives
- On the relationship between stability of extreme order statistics and convergence of the maximum likelihood kernel density estimate
- An asymptotically efficient solution to the bandwidth problem of kernel density estimation
- Estimation of integrated squared density derivatives
- Variable bandwidth kernel estimators of regression curves
- Canonical kernels for density estimation
- On the amount of noise inherent in bandwidth selection for a kernel density estimator
- A local cross-validation algorithm
- On Kullback-Leibler loss and density estimation
- Weak convergence and efficient density estimation at a point
- Lower bounds for bandwidth selection in density estimation
- A simple root \(n\) bandwidth selector
- Variable kernel density estimation
- A local cross-validation algorithm for dependent data
- A comparative study of several smoothing methods in density estimation
- Progress in data-based bandwidth selection for kernel density estimation
- On bandwidth variation in kernel estimates. A square root law
- A data-based algorithm for choosing the window width when estimating the density at a point
- On Local Smoothing of Nonparametric Curve Estimators
- An iterative bandwidth selector for kernel estimation of densities and their derivatives
- A comparative study of some kernel-based nonparametric density estimators
- Biased and Unbiased Cross-Validation in Density Estimation
- Local Bandwidth Selection for Kernel Estimates
- Variable Kernel Estimates of Multivariate Densities
- A note on bias reduction in variable‐kernel density estimates
- Locally Adaptive Bandwidth Choice for Kernel Regression Estimators
- On Locally Adaptive Density Estimation
- Zero-Bias Locally Adaptive Density Estimators
- Bandwidth selection procedures tor kernel density estimates
- Visual Error Criteria for Qualitative Smoothing
- Adaptive Bandwidth Choice for Kernel Regression
- Adaptive Smoothing and Density-Based Tests of Multivariate Normality
- On Choosing a Delta-Sequence
- Curve Estimates