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Variable 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 used in the estimate are varied depending upon either the location of the samples or the location of the test point. It is a particularly effective technique when the sample space is multi-dimensional.

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Rationale

"kernel"Linear filter
2 related topics

Use for statistical classification

Statistical classificationMaximum likelihood
2 related topics

Balloon estimators

K-nearest neighbour algorithm
1 related topics

Overview

StatisticsKernel density estimationSample space
3 related topics

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Rationale

Balloon estimators

Use for statistical classification

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Variable kernel density estimation

Nodes13
Edges12
Triples3
Avg. degree1.85
Density0.153846
Components1

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Variable kernel density estimation

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related to External links · 3
Variable kernel density estimation → Archived, Matlab, Wayback Machine

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Important terminology

kernel width density estimation test point sample function term adaptive estimate varied depending location samples balloon using different two multivariate

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SubjectPredicateObjectConfidenceSrc
Variable kernel density estimationrelated to External linksMatlab0.60section
Variable kernel density estimationrelated to External linksArchived0.60section
Variable kernel density estimationrelated to External linksWayback Machine0.60section

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