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updated 2 years ago

Kernel Regression with Variable Window Width by 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 almost 4 years ago

Kernel Density Estimator by 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 almost 6 years ago

Kernel Smoothing Regression by 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 6 years ago

Local Linear Kernel Regression by 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 6 years ago

Efficient Kernel Smoothing Regression using KD-Tree by 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 6 years ago

Multivariant Kernel Regression and Smoothing by 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 6 years ago

Update PDF Estimation by Yi Cao

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

p=gkde(x,p)

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