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updated 11 months ago

Multi-dimensional kernel density estimates over periodic domains by Dylan Muir

Dylan Muir (view profile)

This function performs multi-variate kernel density estimates over optionally periodic domains (circular statistics, kernel density estima..., multivariate data)

circ_ksdensityn(mfObservations, mfPDFSamples, mfDomains, ...

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updated 11 months ago

Kernel density estimation for circular functions by Dylan Muir

Dylan Muir (view profile)

Performs kernel density estimates over arbitrary periodic domains. (circular statistics, kernel density estima...)

circ_ksdensity(vfObservations, vfPDFSamples, vfDomain, fS...

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updated almost 2 years ago

Bivariant Kernel Density Estimation (V2.1) by Yi Cao

Yi Cao (view profile)

A tool for bivariant pdf, cdf and icdf estimation using Gaussian kernel function. (statistics, probability, bivariant gaussian ke...)

Bivariate Kernel Density Estimation Demonstration

gkde2.m

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updated 2 years ago

Fast Kernel Density Estimator (Multivariate) by Matej Kristan

A very fast multivariate bandwidth calculation for KDE that can even be calculated from a GMM. (kernel density estima..., gaussian mixture mode..., bandwidth)

applyForScaleTransformToPdf( pdf0, Mu, T )

applyInvScaleTransformToPdf( pdf0, Mu, T )

checkcompiledBWestimator()

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updated 2 years ago

2D Bandwidth Estimator for KDE by Matej Kristan

2D kernel density estimator from weighted data. (statistics, signal processing, kernel density estima...)

col_sum( a )

cols(a)

conf2mahal(c, d)

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updated 4 years ago

Kernel Density Estimator by Zdravko Botev

Zdravko Botev (view profile)

Reliable and extremely fast kernel density estimator for one-dimensional data (statistics, probability, kernel smoothing)

[bandwidth,density,xmesh,cdf]=kde(data,n,MIN,MAX)

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updated 7 years ago

Efficient Kernel Smoothing Regression using KD-Tree by Yi Cao

Yi Cao (view profile)

Efficiency improved multivariant kernel regression using kd-tree (statistics, probability, kernel smoothing)

r=kdtree_ksrmv(x,y,hx,z)

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updated 7 years ago

Multivariant Kernel Regression and Smoothing by Yi Cao

Yi Cao (view profile)

A multivariant Gaussian kernel regression and smoothing tool. (statistics, probability, kernel smoothing)

3-D Image Smoothing through Multivariant Kernel Regression

r=ksrmv(x,y,hx,z)

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updated 7 years ago

Update PDF Estimation by Yi Cao

Yi Cao (view profile)

Update PDF estimation upon receiving new data (statistics, probability, pdf)

p=gkde(x,p)

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