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Kernel Estimator and Bandwidth Selection for Density and its
  Derivatives: The kedd Package

Kernel Estimator and Bandwidth Selection for Density and its Derivatives: The kedd Package

11 December 2020
Arsalane Chouaib Guidoum
ArXiv (abs)PDFHTML

Papers citing "Kernel Estimator and Bandwidth Selection for Density and its Derivatives: The kedd Package"

5 / 5 papers shown
Where does the tail start? Inflection Points and Maximum Curvature as
  Boundaries
Where does the tail start? Inflection Points and Maximum Curvature as Boundaries
Rafael Cabral
Maria de Iorio
Andrea Cremaschi
59
1
0
10 Sep 2024
Estimating Classification Confidence Using Kernel Densities
Estimating Classification Confidence Using Kernel Densities
P. Salamon
David Salamon
V. A. Cantu
Michelle An
Tyler Perry
Robert A. Edwards
A. Segall
319
0
0
13 Jul 2022
Self-Adversarially Learned Bayesian Sampling
Self-Adversarially Learned Bayesian SamplingAAAI Conference on Artificial Intelligence (AAAI), 2018
Yang Zhao
Jianyi Zhang
Changyou Chen
TTABDLSSL
156
10
0
21 Nov 2018
Learning, Visualizing, and Exploiting a Model for the Intrinsic Value of
  a Batted Ball
Learning, Visualizing, and Exploiting a Model for the Intrinsic Value of a Batted Ball
G. Healey
128
8
0
21 Feb 2016
Density-based Denoising of Point Cloud
Density-based Denoising of Point Cloud
Faisal Zaman
Ya-Ping Wong
Boon-Yian Ng
3DPC
144
53
0
17 Feb 2016
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