public static Gaussian Uniform()
{
Gaussian result = new Gaussian();
result.SetToUniform();
return(result);
}
/// <summary>
/// Predictive Variance at a given point
/// </summary>
/// <param name="X">Input</param>
/// <returns>Predictive variance</returns>
public double Variance(Vector X)
{
if (IsUniform())
{
Gaussian temp = new Gaussian();
temp.SetToUniform();
return(temp.GetVariance());
}
else
{
Vector kxB = FixedParameters.KernelOf_X_B(X);
return(FixedParameters.Prior.Variance(X) - Beta.QuadraticForm(kxB));
}
}
/// <summary>
/// Set the distribution to uniform, keeping the same period
/// </summary>
public void SetToUniform()
{
Gaussian.SetToUniform();
}
/// <summary>
/// Set the distribution to uniform with infinite bounds
/// </summary>
public void SetToUniform()
{
Gaussian.SetToUniform();
LowerBound = double.NegativeInfinity;
UpperBound = double.PositiveInfinity;
}
