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Multivariate kernel density estimation

Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the… 
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Related topics

12 relations
Bivariate dataC++ConvolutionCross-validation (statistics)

Broader (1)

Computational statistics

Papers overview

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2015
2015
Variability in analyst decisions during the computation of numerical likelihood ratios
This study assesses the extent to which likelihood ratios (LRs) are affected by analyst decisions regarding the number of… 
2013
2013
Handling the curse of dimensionality in multivariate kernel density estimation
2011
2011
Multivariate kernel diffusion for surface denoising
In this paper, we introduce a 3D mesh denoising method based on kernel density estimation. The proposed approach is able to… 
2011
2011
Quasi-continuous maximum entropy distribution approximation with kernel density
This paper extends maximum entropy estimation of discrete probability distributions to the continuous case. This transition leads… 
2008
2008
Background subtraction based on adaptive non-parametric model
Object detection is an important basis for tracking and recognition in visual surveillance systems via stationary cameras. The… 
2007
2007
Segmentation , 2 D-3 D Registration , and Uncertainty Propagation for Dynamic Roadmapping in Angiographic Interventions
Minimal invasive catheter-guided interventions play an important role in most hospitals all over the world. During the treatment… 
2006
2006
Quick multivariate kernel density estimation for massive data sets
Massive data sets are becoming popular in this information era. Due to the limitation of computer memory space and the computing… 
2001
2001
BIAS REDUCTION AND ELIMINATION WITH KERNEL ESTIMATORS
A great deal of research has focused on improving the bias properties of kernel estimators. One proposal involves removing the… 
1998
1998
Classification via kernel product estimators
SUMMARY Multivariate kernel density estimation is often used as the basis for a nonparametric classification technique. However… 
1992
1992
Cross-Validation of Multivariate
In recent years, the focus of study in smoothing parameter selection for kernel density estimation has been on the univariate… 
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