Adapting the classical kernel density estimator to data

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On correcting for variance inflation in kernel density estimation

Cites Work

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Large sample optimality of least squares cross-validation in density estimation
An asymptotically optimal window selection rule for kernel density estimates
A nonparametric data based univariate density function estimate
A comparison of cross-validation techniques in density estimation
Strong uniform consistency of kernel probability density estimators based on sample moments
On the strong uniform consistency of a new kernel density estimator
Consistent cross-validated density estimation
Remarks on Some Nonparametric Estimates of a Density Function
A review of some adaptive statistical techniques
A comparative study of some kernel-based nonparametric density estimators
Statistical Robustness: One View of Its Use in Applications Today
A conditional property of adaptive estimators
Monte Carlo Study of Three Data-Based Nonparametric Probability Density Estimators
On the Integral Mean Square Error of Some Nonparametric Estimates for the Density Function
Some Errors Associated with the Non-parametric Estimation of Density Functions
On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions
Kernel density estimation revisited
Selection of Trimming Proportions for Robust Adaptive Trimmed Means
Variable Kernel Estimates of Multivariate Densities
On Robust Procedures
On the Maximum Deviation of the Sample Density
The 1972 Wald Lecture Robust Statistics: A Review
On Estimation of a Probability Density Function and Mode