A Bayesian approach to bandwidth selection for multivariate kernel density estimation

Bandwidth Selection ◽

Kernel Density ◽

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 ◽

Bandwidth Selection ◽

Kernel Density ◽

Fourier Domain ◽

Selection For ◽

Domain Constraints

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 ◽

Mean Absolute Error ◽

Bandwidth Selection ◽

Kernel Density ◽

Absolute Error ◽

Right Censored Data ◽

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 ◽

Bandwidth Selection ◽

Kernel Density ◽

Fully Automatic ◽

A bandwidth selection for kernel density estimation of functions of random variables

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2003.10.013 ◽

2004 ◽

Vol 47 (1) ◽

pp. 49-62 ◽

Cited By ~ 43

Author(s):

A.R Mugdadi ◽

Ibrahim A Ahmad

Keyword(s):

Density Estimation ◽

Bandwidth Selection ◽

Random Variables ◽

Kernel Density ◽

2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) ◽

An Improved Kernel Density Estimation with adaptive bandwidth selection for Edge detection

10.1109/icicv50876.2021.9388547 ◽

2021 ◽

Author(s):

Muthukumaran Malarvel ◽

Harjeet Singh ◽

Soumya Ranjan Nayak

Keyword(s):

Edge Detection ◽

Density Estimation ◽

Bandwidth Selection ◽

Kernel Density ◽

Selection For ◽

Adaptive Bandwidth ◽

Adaptive Bandwidth Selection

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 ◽

Forest Fires ◽

Bandwidth Selection ◽

Kernel Density ◽

Kernel density estimation (KDE) with adaptive bandwidth selection for environmental contours of extreme sea states

OCEANS 2016 MTS/IEEE Monterey ◽

10.1109/oceans.2016.7761150 ◽

2016 ◽

Cited By ~ 10

Author(s):

Aubrey Eckert-Gallup ◽

Nevin Martin

Keyword(s):

Density Estimation ◽

Bandwidth Selection ◽

Kernel Density ◽

Selection For ◽

Adaptive Bandwidth ◽

Adaptive Bandwidth Selection

Fast algorithm bandwidth selection for multivariate kernel density estimation

Izmeritel`naya Tekhnika ◽

10.32446/0368-1025it.2018-10-19-23 ◽

2018 ◽

pp. 19-23 ◽

Cited By ~ 5

Author(s):

A. V. Lapko ◽

◽

V. A. Lapko ◽

◽

...

Keyword(s):

Density Estimation ◽

Fast Algorithm ◽

Bandwidth Selection ◽

Kernel Density ◽

Bandwidth Selection for Kernel Density Estimation

The Annals of Statistics ◽

10.1214/aos/1176348376 ◽

1991 ◽

Vol 19 (4) ◽

pp. 1883-1905 ◽

Cited By ~ 89

Author(s):

Shean-Tsong Chiu

Keyword(s):

Density Estimation ◽

Bandwidth Selection ◽

Kernel Density ◽

Local bandwidth selection for kernel density estimation in a bifurcating Markov chain model

Journal of Nonparametric Statistics ◽

10.1080/10485252.2020.1789125 ◽

2020 ◽

Vol 32 (3) ◽

pp. 535-562

Author(s):

S. Valère Bitseki Penda ◽

Angelina Roche

Keyword(s):

Markov Chain ◽

Density Estimation ◽

Markov Chain Model ◽

Bandwidth Selection ◽

Kernel Density ◽

Chain Model ◽