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updated almost 3 years ago

Kernel Regression with Variable Window Width by Fernando Duarte

Fernando Duarte

Gaussian kernel regression and local linear Gaussian kernel regression with variable window width (kernel, kernel smoothing, kernel regression)

r=ksr_vw(x,y,k,N)

r=ksrlin_vw(x,y,k,N)

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updated 4 years ago

Kernel Density Estimator by Zdravko Botev

Zdravko Botev

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 6 years ago

Kernel Smoothing Regression by Yi Cao

Yi Cao

A non-parametrical regression (smoothing) tool using Gaussian kernel. (statistics, probability, kernel smoothing)

r=ksr(x,y,h,N)

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updated almost 7 years ago

Local Linear Kernel Regression by Yi Cao

Yi Cao

A function to provide local linear estimator of Gaussian kernel regression (statistics, probability, kernel smoothing)

r=ksrlin(x,y,h,N)

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updated almost 7 years ago

Efficient Kernel Smoothing Regression using KD-Tree by Yi Cao

Yi Cao

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

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

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updated almost 7 years ago

Multivariant Kernel Regression and Smoothing by Yi Cao

Yi Cao

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 almost 7 years ago

Update PDF Estimation by Yi Cao

Yi Cao

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

p=gkde(x,p)

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