KernelDensity Methods

Methods

Estimate(Vector<Double>, Kernel, Vector<Double>, Double, KernelDensityBandwidthEstimator, Double)	Estimates the density of the input
Estimate(Vector<Double>, Kernel, Double, Double, KernelDensityBandwidthEstimator, Double)	Estimates the density of the input
Estimate(Vector<Double>, Kernel, Int32, Double, Double, Double, Double, KernelDensityBandwidthEstimator, Double)	Estimates the density of the input.
EstimateBandwidth	Estimates the bandwidth for kernel density estimation using the specified data and method.
EstimateDistribution	Estimates the probability density of the input variable.
NormalReferenceBandwidth	Returns the bandwidth for kernel density estimation based on Silverman's rule.
ScottBandwidth	Returns the bandwidth for kernel density estimation based on Scott's rule.
SilvermanBandwidth	Returns the bandwidth for kernel density estimation based on Silverman's rule.