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RicardoSantos

KDE-Gaussian

RicardoSantos Wizard Updated   
Oscillators function kernel kde estimation
113
9
oscillator function kernel kde estimation
"In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable."
from wikipedia.com
Release Notes:
fixed a issue when using float type observations.
added a draw function to draw the KDE graph(you need to see all the bar history to see it, doesnt work for float observations)
Release Notes:
removed some redundant parameters, added bandwidth, nstep parameters, the graph looks stepd due to x axis havin interdigit floating numbers so it rounds to nearest causing that effect.
Release Notes:
improved the kde draw function
Open-source script

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