Results 231 to 240 of about 51,696 (258)

Efficient Bandwidth Selection in Non‐parametric Regression

Scandinavian Journal of Statistics, 2003
In this paper we use non‐parametric local polynomial methods to estimate the regression function, m(x). Y may be a binary or continuous response variable, and X is continuous with non‐uniform density. The main contributions of this paper are the weak convergence of a bandwidth process for kernels of order (0,k), k=2j, j≥1 and the proposal of a local ...
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Bandwidth Selection for Large Covariance and Precision Matrices

Statistica Sinica
Summary: For large covariance matrices and the corresponding precision matrices with banding structures, this paper develops a criterion to identify the bandwidth. The new method is based on an objective function that is discontinuous at the true bandwidth to show a ``valley-cliff'' pattern so that the identification of this location can be visualized ...
Zhu, Xuehu, Guo, Jian, Guo, Xu, Zhu, Lixing, Zheng, Jiasen   +4 more
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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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Bayesian sampling for bandwidth selection

2017
This thesis aims to investigate three main topics, which are the density-based multiple variance ratio test, Bayesian estimation of partially linear models, and Bayesian estimation of Tobit models. All three topics involve a kernel density estimator whose performance is mainly determined by the choice of bandwidth.
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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
J S Marron
exaly   +2 more sources

Bandwidth Selection

Marie Wiberg, Jorge González, Alina A. von Davier   +2 more
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Bandwidth selection for kernel conditional density estimation

Computational Statistics and Data Analysis, 2001
Rob J Hyndman
exaly