Results 271 to 280 of about 335,347 (295)

Bandwidth Selection in Density Estimation

1995
The motivation for density estimation in statistics and data analysis is to realize where observations occur more frequently in a sample. The aim of density estimation is to approximate a “true” probability density function f(x) from a sample information {X i }n i=1 of independent and identically distributed observations.
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Bandwidth selection for the smoothed bootstrap percentile method

Computational Statistics & Data Analysis, 2001
Some applications of the bootstrap involve smoothing the estimated distribution that is resampled, a method known as the smoothed bootstrap. Recently, the effect of resampling a kernel smoothed distribution was evaluated through expansions for the coverage of bootstrap percentile confidence intervals.
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Root N Bandwidth Selection

1991
For various data-based bandwidth selectors for a kernel density estimator, the relative rate of convergence of the selected bandwidth is considered. Several methods have recently been found which have the very fast rate of convergence of the square root of the sample size.
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Bandwidth selection

1995
M. P. Wand, M. C. Jones
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36-THz Bandwidth Wavelength Selective Switch

2021 European Conference on Optical Communication (ECOC), 2021
Nicolas K. Fontaine, Mikael Mazur, Roland Ryf, Haoshuo Chen, Lauren Dallachiesa, David T. Neilson   +5 more
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A Brief Survey of Bandwidth Selection for Density Estimation

Journal of the American Statistical Association, 1996
M C Jones
exaly   +2 more sources

Bandwidth selection

1994
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Bandwidth selection for kernel conditional density estimation

Computational Statistics and Data Analysis, 2001
Rob J Hyndman
exaly  

Bandwidth Selection

Marie Wiberg, Jorge González, Alina A. von Davier   +2 more
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A new method for varying adaptive bandwidth selection

IEEE Transactions on Signal Processing, 1999
V Katkovnik
exaly