Bandwidth selection: Classical or plug-in?
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Publication:1970472
DOI10.1214/aos/1018031201zbMath0938.62035OpenAlexW2051195364MaRDI QIDQ1970472
Publication date: 13 June 2000
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1018031201
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Graphical methods in statistics (62A09)
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Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The performance of six popular bandwidth selection methods on some real data sets
- Practical performance of several data driven bandwidth selectors
- Bandwidth choice for nonparametric regression
- Optimal rates of convergence for nonparametric estimators
- Bandwidth selection for kernel density estimation
- Exact mean integrated squared error
- Locally parametric nonparametric density estimation
- Local linear regression smoothers and their minimax efficiencies
- Smooth estimators of distribution and density functions
- Local Likelihood Estimation
- An Effective Bandwidth Selector for Local Least Squares Regression
- A Brief Survey of Bandwidth Selection for Density Estimation
- Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
- Remarks on Some Nonparametric Estimates of a Density Function
- On optimal data-based bandwidth selection in kernel density estimation
- A Flexible and Fast Method for Automatic Smoothing
- A Look at Some Data on the Old Faithful Geyser
- Biased and Unbiased Cross-Validation in Density Estimation
- Bootstrap choice of the smoothing parameter in kernel density estimation
- Regression Smoothing Parameters That Are Not Far From Their Optimum
- On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions
- On Choosing a Delta-Sequence
- Some Comments on C P
