/// <summary>
/// Convert to the optimal Gaussian
/// </summary>
/// <returns></returns>
public Gaussian GetGaussian()
{
if (Precision == 0.0 || Rate == 0.0)
{
return(Gaussian.Uniform());
}
return(Gaussian.FromMeanAndVariance(MeanTimesPrecision / Precision, (Shape - 1) / Rate));
}
/// <summary>
/// Convert to the optimal Gaussian
/// </summary>
/// <param name="addEntropy">Whether to include an entropy term</param>
/// <returns></returns>
public Gaussian GetGaussian(bool addEntropy)
{
if (Precision == 0.0 || Rate == 0.0)
{
return(Gaussian.Uniform());
}
return(Gaussian.FromMeanAndVariance(MeanTimesPrecision / Precision, (Shape - 1 + (addEntropy ? .5 : 0)) / Rate));
}
/// <summary>
/// Create a truncated Gaussian from untruncated (mean, variance) and bounds
/// </summary>
/// <param name="mean"></param>
/// <param name="variance"></param>
/// <param name="lowerBound"></param>
/// <param name="upperBound"></param>
public TruncatedGaussian(double mean, double variance, double lowerBound, double upperBound)
{
this.Gaussian = Gaussian.FromMeanAndVariance(mean, variance);
LowerBound = lowerBound;
UpperBound = upperBound;
}
