| Estimate(Vector<Double>, Vector<Double>, Double, Func<Double, Double>) | Estimates densities at supplied points using a normalized custom kernel. |
| Estimate(Vector<Double>, Double, Double, Func<Double, Double>) | Estimates the density at one point using a normalized custom kernel. |
| Estimate(Vector<Double>, Kernel, Vector<Double>, Double, KernelDensityBandwidthEstimator, Double) |
Estimates the density of the input
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| Estimate(Vector<Double>, Kernel, Double, Double, KernelDensityBandwidthEstimator, Double) |
Estimates the density of the input
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| Estimate(Vector<Double>, Kernel, Int32, Double, Double, Double, Double, KernelDensityBandwidthEstimator, Double) |
Estimates the density of the input.
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| EstimateBandwidth |
Estimates the bandwidth for kernel density estimation
using the specified data and method.
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| EstimateDistribution |
Estimates the probability density of the input variable.
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| EstimateEpanechnikov(Vector<Double>, Vector<Double>, Double) | Estimates densities at the supplied points using an Epanechnikov kernel. |
| EstimateEpanechnikov(Vector<Double>, Double, Double) | Estimates the density at one point using an Epanechnikov kernel. |
| EstimateGaussian(Vector<Double>, Vector<Double>, Nullable<Double>) | Estimates densities at the supplied points using a Gaussian kernel. |
| EstimateGaussian(Vector<Double>, Double, Nullable<Double>) | Estimates the density at one point using a Gaussian kernel. |
| EstimateGaussianBandwidth | Estimates a Gaussian normal-reference bandwidth in observation units. |
| EstimateTriangular(Vector<Double>, Vector<Double>, Double) | Estimates densities at the supplied points using a triangular kernel. |
| EstimateTriangular(Vector<Double>, Double, Double) | Estimates the density at one point using a triangular kernel. |
| EstimateUniform(Vector<Double>, Vector<Double>, Double) | Estimates densities at the supplied points using a uniform kernel. |
| EstimateUniform(Vector<Double>, Double, Double) | Estimates the density at one point using a uniform kernel. |
| Fit | Fits a reusable kernel density estimate with optional relative observation weights. |
| FitReflected | Fits a Gaussian density with reflection boundary correction. |
| FitTransformed | Fits a boundary-corrected density in log or logit coordinates. |
| NormalReferenceBandwidth |
Returns the kernel-specific normal reference bandwidth.
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| ScottBandwidth |
Returns the bandwidth for kernel density estimation based
on Scott's rule.
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| SilvermanBandwidth |
Returns the bandwidth for kernel density estimation based
on Silverman's rule.
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