Results 261 to 270 of about 335,347 (295)

Visual Bandwidth Selection for Kernel Density Maps

Photogrammetrie - Fernerkundung - Geoinformation, 2009
Within this paper we investigate the challenge to find an appropriate bandwidth in kernel density estimation. Kernel density estimation methods can be used in visualizing and analyzing spatial data, with the objective of understanding and potentially predicting event patterns.
Krisp, Jukka M., Peters, Stefan, Murphy, Christian E., Fan, Hongchao   +3 more
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Bandwidth Selection for Kernel Estimates

2001
This chapter is about the choice of the bandwidth (or smoothing factor) h ∈ (0, ∞) of the standard kernel estimate $$ {f_{n,h}}(x) = \frac{1}{{n{h^d}}}\sum\limits_{i = 1}^n {K\left( {\frac{{x - {X_i}}}{h}} \right)} . $$
Luc Devroye, Gábor Lugosi
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Wavelength selective switching for optical bandwidth management

Bell Labs Technical Journal, 2006
Optical transport capacities have grown significantly in the last decade to meet the increased demands on communications networks. This growth has been achieved both by increases in individual channel rates, which are based on time division multiplexing (TDM), and by increased channel counts, through the use of dense wavelength division multiplexing ...
David T. Neilson, Christopher R. Doerr, Dan M. Marom, Roland Ryf, Mark P. Earnshaw   +4 more
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On the Selection of the Bandwidth Parameter for the k‐Chart

Quality and Reliability Engineering International, 2017
The k‐chart, based on support vector data description, has received recent attention in the literature. We review four different methods for choosing the bandwidth parameter, s, when the k‐chart is designed using the Gaussian kernel. We provide results of extensive Phase I and Phase II simulation studies varying the method of choosing the bandwidth ...
Maria L. Weese, Waldyn G. Martinez, L. Allison Jones-Farmer   +2 more
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Bandwidth Selection for Changepoint Estimation in Nonparametric Regression

Technometrics, 2004
Nonparametric estimation of abrupt changes in a regression function involves choosing smoothing (bandwidth) parameters. The performance of estimation procedures depends heavily on this choice. So far, little attention has been paid to the crucial issue of choosing appropriate bandwidth parameters in practice.
Irène Gijbels, Anne-Cécile Goderniaux
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Smoothing bandwidth selection for response latency estimation

Journal of Neuroscience Methods, 1999
Stimulus response latency is the delay between stimulus onset and the evoked modulation in neural activity. A common technique to estimate latencies involves binning the spike arrival times to form a peri-stimulus histogram. This histogram is smoothed using a fixed bandwidth. The estimated latency is the first time following stimulus onset in which the
H S, Friedman, C E, Priebe
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Bandwidth reservation with selectable bit-rate streams

Multimedia Systems, 1998
Video and audio compression techniques allow continuous media streams to be transmitted at bit rates that are a function of the delivered quality of service. Digital networks will be increasingly used for the transmission of such continuous media streams.
Carl J. Beckmann, Ahmed A. Moin, Saurab Nog   +2 more
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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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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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