# Variable kernel density estimation

## Papers overview

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2018

2018

- 2018

Variable kernel density estimation allows the approximation of a probability density by the mean of differently stretched andâ€¦Â (More)

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2017

Highly Cited

2017

- AAAI
- 2017

Estimating the joint probability density function of a dataset is a central task in many machine learning applications. In thisâ€¦Â (More)

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2014

2014

- Computational Statistics & Data Analysis
- 2014

Standard fixed symmetric kernel type density estimators are known to encounter problems for positive random variables with aâ€¦Â (More)

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2011

2011

- AISTATS
- 2011

In the main paper we presented results regarding the MSE of CAKE like estimators, and a risk bound for CAKE. In thisâ€¦Â (More)

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2009

2009

- ACML
- 2009

Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertaintyâ€¦Â (More)

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2007

2007

- International Conference on Machine Learning andâ€¦
- 2007

Adaptive kernel estimation for unit interval compact bounded densities using beta kernel is considered. Beta kernel is anâ€¦Â (More)

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2005

2005

- Proceedings. IEEE International Joint Conferenceâ€¦
- 2005

In recent years, kernel density estimation has been exploited by computer scientists to model several important problems inâ€¦Â (More)

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2004

Highly Cited

2004

- Proceedings of the IEEE Computer Societyâ€¦
- 2004

Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes thatâ€¦Â (More)

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1994

1994

- 1994

This paper describes the Stata module akdensity. akdensity extends the official Stata command kdensity that estimates densityâ€¦Â (More)

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1994

Highly Cited

1994

- 1994

The problem of optimal adaptive estimation of a function at a given point from noisy data is considered. Two procedures areâ€¦Â (More)

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