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Variable kernel density estimation

Known as: Variable bandwidth kernel density estimation, Variable kernel density estimator, Adaptive kernel density estimation 
In statistics, adaptive or "variable-bandwidth" kernel density estimation is a form of kernel density estimation in which the size of the kernels… 
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Related topics

Related topics

8 relations
C++K-nearest neighbors algorithmKernel density estimationMultivariate kernel density estimation

Broader (1)

Statistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Axiomatic Approach to Variable Kernel Density Estimation
Variable kernel density estimation allows the approximation of a probability density by the mean of differently stretched and… 
2011
2011
Efficient Estimation of Spectral Functionals for Continuous-Time Stationary Models
The paper considers a problem of construction of asymptotically efficient estimators for functionals defined on a class of… 
2011
2011
Automatic crowd analysis from airborne images
Recently automatic detection of people and crowded areas from images became a very important research field, since it can provide… 
2010
2010
SUPPLEMENT TO ”KERNEL ESTIMATORS OF ASYMPTOTIC VARIANCE FOR ADAPTIVE MARKOV
This is a supplement to the paper " Kernel estimators of asymp-totic variance for adaptive Markov Chain Monte Carlo " and… 
2009
2009
Variable Kernel Density Estimation for Simple Linear Degradation Model
Variable Kernel Density Estimation for Simple Linear Degradation Model… 
2007
2007
Adaptive Kernel Density Estimation using Beta Kernel
Adaptive kernel estimation for unit interval compact bounded densities using beta kernel is considered. Beta kernel is an… 
2006
2006
Methods for Binning and Density Estimation of Load Parameters for Prognostics and Health Management
Environmental and usage loads experienced by a product in the field can be monitored in-situ and used with prognostic models to… 
2004
2004
Weighted kernel estimators in nonparametric binomial regression
This paper is concerned with nonparametric binomial regression. A kernel-based binomial regression estimator and its bias… 
2002
2002
Data-dependent kn-NN and kernel estimators consistent for arbitrary processes
Let X/sub 1/, X/sub 2/,... be an arbitrary random process taking values in a totally bounded subset of a separable metric space… 
1995
1995
Asymptotic Properties of Kernel Estimators of the Radon-nikodym Derivative With Applications To Discriminant-analysis
Let F and G be cumulative distribution functions and denote by h the Radon-Nikodym derivative of G with respect to F. Two i.i.d… 
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