ReflectedKernelDensityEstimate Class

Represents a Gaussian KDE reflected into a half-line or closed finite interval.

Definition

Namespace: Numerics.NET.Statistics
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 10.9.0

public sealed class ReflectedKernelDensityEstimate

Visual Basic

Public NotInheritable Class ReflectedKernelDensityEstimate

C++/CLI

public ref class ReflectedKernelDensityEstimate sealed

[<SealedAttribute>]
type ReflectedKernelDensityEstimate = class end

Created by FitReflected(Vector<Double>, KernelDensityReflection, KernelDensityOptions, Vector<Double>). The fit owns an immutable observation snapshot. Bandwidths and selection criteria use original units and the original observations, before reflection.

Reflection	Gets the immutable reflection support.
SourceEstimate	Gets the original-coordinate fitted snapshot, bandwidth and observation-weight metadata.

Equals	Determines whether the specified object is equal to the current object. (Inherited from Object)
Evaluate(Double)	Evaluates the reflected density.
Evaluate(Vector<Double>)	Evaluates reflected densities at supplied coordinates.
EvaluateGrid	Evaluates the reflected density on an equally spaced original-coordinate grid.
EvaluateLog(Double)	Evaluates natural log-density, retaining Gaussian tail values after ordinary underflow.
EvaluateLog(Vector<Double>)	Evaluates reflected natural log-densities at supplied coordinates.
GetHashCode	Serves as the default hash function. (Inherited from Object)
GetType	Gets the Type of the current instance. (Inherited from Object)
ToDistribution	Creates a direct reflected Gaussian distribution without a finite-grid approximation.
ToPiecewiseDistribution	Creates a normalized finite-grid piecewise approximation.
ToString	Returns a string that represents the current object. (Inherited from Object)