Bandwidth selection for kernel log-density estimation

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2016.05.003 ◽

2016 ◽

Vol 103 ◽

pp. 56-67 ◽

Cited By ~ 3

Author(s):

Martin L. Hazelton ◽

Murray P. Cox

Keyword(s):

Density Estimation ◽

Bandwidth Selection ◽

Selection For

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Bandwidth selection for kernel density estimation using Fourier domain constraints

IET Signal Processing ◽

10.1049/iet-spr.2015.0076 ◽

2016 ◽

Vol 10 (3) ◽

pp. 280-283

Author(s):

Alexander Suhre ◽

Orhan Arikan ◽

Ahmed Enis Cetin

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Bandwidth Selection ◽

Kernel Density ◽

Fourier Domain ◽

Selection For ◽

Domain Constraints

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Local Bandwidth Selection for Density Estimation

Computing Science and Statistics ◽

10.1007/978-1-4612-2856-1_14 ◽

1992 ◽

pp. 111-116 ◽

Cited By ~ 4

Author(s):

Lori A. Thombs ◽

Simon J. Sheather

Keyword(s):

Density Estimation ◽

Bandwidth Selection ◽

Selection For

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Local bandwidth selection for kernel density estimation from right-censored data based on asymptotic mean absolute error

Nonlinear Analysis ◽

10.1016/s0362-546x(96)00213-1 ◽

1997 ◽

Vol 30 (7) ◽

pp. 4375-4384 ◽

Cited By ~ 2

Author(s):

J.W. Kuhn ◽

W.J. Padgett

Keyword(s):

Density Estimation ◽

Censored Data ◽

Kernel Density Estimation ◽

Mean Absolute Error ◽

Bandwidth Selection ◽

Kernel Density ◽

Absolute Error ◽

Right Censored Data ◽

Selection For

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C.440. On data- based bandwidth selection for density estimation from censored samples: a simulation

Journal of Statistical Computation and Simulation ◽

10.1080/00949659608811764 ◽

1996 ◽

Vol 55 (3) ◽

pp. 239-245

Author(s):

J. W. Kuhn ◽

W. J. Padgett

Keyword(s):

Density Estimation ◽

Bandwidth Selection ◽

Censored Samples ◽

Selection For

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Bandwidth Selection for Indirect Density Estimation Based on Corrupted Histogram Data

Journal of the American Statistical Association ◽

10.1080/01621459.1996.10476930 ◽

1996 ◽

Vol 91 (434) ◽

pp. 610-626 ◽

Cited By ~ 2

Author(s):

Finbarr O'sullivan ◽

Yudi Pawitan

Keyword(s):

Density Estimation ◽

Bandwidth Selection ◽

Selection For

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Optimal bandwidth selection for multivariate kernel deconvolution density estimation

Test ◽

10.1007/s11749-006-0027-5 ◽

2007 ◽

Vol 17 (1) ◽

pp. 138-162 ◽

Cited By ~ 5

Author(s):

Élie Youndjé ◽

Martin T. Wells

Keyword(s):

Density Estimation ◽

Bandwidth Selection ◽

Optimal Bandwidth ◽

Selection For

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Bandwidth selection for kernel density estimation: a review of fully automatic selectors

AStA Advances in Statistical Analysis ◽

10.1007/s10182-013-0216-y ◽

2013 ◽

Vol 97 (4) ◽

pp. 403-433 ◽

Cited By ~ 92

Author(s):

Nils-Bastian Heidenreich ◽

Anja Schindler ◽

Stefan Sperlich

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Bandwidth Selection ◽

Kernel Density ◽

Fully Automatic ◽

Selection For

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Non-asymptotic Bandwidth Selection for Density Estimation of Discrete Data

Methodology And Computing In Applied Probability ◽

10.1007/s11009-007-9057-z ◽

2008 ◽

Vol 10 (3) ◽

pp. 435-451 ◽

Cited By ~ 6

Author(s):

Zdravko I. Botev ◽

Dirk P. Kroese

Keyword(s):

Density Estimation ◽

Bandwidth Selection ◽

Discrete Data ◽

Selection For

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Bandwidth selection for kernel density estimation of forest fires

REVISTA CHAPINGO SERIE CIENCIAS FORESTALES Y DEL AMBIENTE ◽

10.5154/r.rchscfa.2017.12.074 ◽

2018 ◽

Vol 24 (3) ◽

pp. 313-327 ◽

Cited By ~ 1

Author(s):

José G. Flores-Garnica ◽

◽

Alejandra Macías-Muro ◽

Keyword(s):

Density Estimation ◽

Kernel Density Estimation ◽

Forest Fires ◽

Bandwidth Selection ◽

Kernel Density ◽

Selection For

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Cosine-based variable bandwidth selection for nonparametric spectral density estimation under long-range dependence

Journal of Statistical Computation and Simulation ◽

10.1080/00949655.2021.1988947 ◽

2021 ◽

pp. 1-17

Author(s):

Donghoon Jeong ◽

Jongho Im ◽

Young Min Kim

Keyword(s):

Spectral Density ◽

Density Estimation ◽

Long Range ◽

Bandwidth Selection ◽

Long Range Dependence ◽

Spectral Density Estimation ◽

Variable Bandwidth ◽

Selection For

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