A comparative study of several smoothing methods in density estimation
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Publication:1361540
DOI10.1016/0167-9473(92)00066-ZzbMath0937.62518OpenAlexW2039912699WikidataQ57308726 ScholiaQ57308726MaRDI QIDQ1361540
Ricardo Cao, Antonio Cuevas, Wenceslao González Manteiga
Publication date: 25 August 1997
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-9473(92)00066-z
fast Fourier transformkernel density estimatorsbandwidth choicebootstrap bandwidthscomparisons by simulationcross-validation bandwidthsdouble kernel methodinflection points bandwidthsplug-in bandwidths
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Cites Work
- Unnamed Item
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- Practical performance of several data driven bandwidth selectors
- Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems
- Bootstrap choice of tuning parameters
- Using non-stochastic terms to advantage in kernel-based estimation of integrated squared density derivatives
- The double kernel method in density estimation
- 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
- Extent to which least-squares cross-validation minimises integrated square error in nonparametric density estimation
- Large sample optimality of least squares cross-validation in density estimation
- An asymptotically optimal window selection rule for kernel density estimates
- A comparison of cross-validation techniques in density estimation
- Estimation of integrated squared density derivatives
- On the amount of noise inherent in bandwidth selection for a kernel density estimator
- Minimizing \(L_ 1\) distance in nonparametric density estimation
- On Kullback-Leibler loss and density estimation
- Lower bounds for bandwidth selection in density estimation
- Smoothed cross-validation
- Bandwidth selection for kernel density estimation
- A simple root \(n\) bandwidth selector
- Some asymptotics for multimodality tests based on kernel density estimates
- Modified cross-validation in density estimation
- Weak and strong uniform consistency of the kernel estimate of a density and its derivatives
- A short note on optimal bandwidth selection for kernel estimators
- Progress in data-based bandwidth selection for kernel density estimation
- Consistent cross-validated density estimation
- A note on modified cross-validation in density estimation
- Remarks on Some Nonparametric Estimates of a Density Function
- On optimal data-based bandwidth selection in kernel density estimation
- A comparative study of some kernel-based nonparametric density estimators
- Biased and Unbiased Cross-Validation in Density Estimation
- Bootstrap choice of the smoothing parameter in kernel density estimation
- Transformations in Density Estimation
- On Qualitative Smoothness of Kernel Density Estimates1
- On Estimation of a Probability Density Function and Mode