Bias corrected bootstrap bandwidth selection
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Publication:4365357
DOI10.1080/10485259708832716zbMath0889.62031OpenAlexW2053919144MaRDI QIDQ4365357
Publication date: 18 June 1998
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/11299/199634
simulation studybandwidth selectionkernel density estimationbias correctionsmoothed bootstrap estimates
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09)
Related Items (7)
Bandwidth selection for kernel density estimation: a review of fully automatic selectors ⋮ Bootstrap bandwidth selection in kernel density estimation from a contaminated sample ⋮ FIRE OCCURRENCE PATTERNS AT LANDSCAPE LEVEL: BEYOND POSITIONAL ACCURACY OF IGNITION POINTS WITH KERNEL DENSITY ESTIMATION METHODS ⋮ The missing censoring indicator model and the smoothed bootstrap ⋮ On multivariate smoothed bootstrap consistency ⋮ Bootstrap bandwidth selection method for local linear estimator in exponential family models ⋮ Bootstrap Bandwidth Selection Using an h‐Dependent Pilot Bandwidth
Cites Work
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- Using the bootstrap to estimate mean squared error and select smoothing parameter in nonparametric problems
- Lower bounds for bandwidth selection in density estimation
- Smoothed cross-validation
- A simple root \(n\) bandwidth selector
- Exact mean integrated squared error
- Loss and risk in smoothing parameter selection
- Bootstrap choice of the smoothing parameter in kernel density estimation
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