/// <summary>
/// The log-probability that two distributions would draw the same sample.
/// </summary>
/// <param name="that"></param>
/// <returns><c>Math.Log(sum_x this.Evaluate(x)*that.Evaluate(x))</c></returns>
/// <remarks>This can be considered a type of inner product between distributions.
/// Another name might be "LogAverage" to go with "GetAverageLog".
/// For a DistributionArray, this specializes to:
/// <c>sum_i Math.Log(sum_x this[i].Evaluate(x)*that[i].Evaluate(x))</c>
/// = <c>sum_i this[i].GetLogAverageOf(that[i])</c>
/// </remarks>
public double GetLogAverageOf(DistributionRefArray <T, DomainType> that)
{
return(Distribution.GetLogAverageOf(array, that.array));
}
/// <summary>
/// Get the integral of this distribution times another distribution raised to a power.
/// </summary>
/// <param name="that"></param>
/// <param name="power"></param>
/// <returns></returns>
public double GetLogAverageOfPower(DistributionRefArray <T, DomainType> that, double power)
{
return(Distribution.GetLogAverageOfPower(array, that.array, power));
}
/// <summary>
/// Set the parameters to match the moments of a mixture of two distributions
/// </summary>
/// <param name="weight1">The first weight</param>
/// <param name="a">The first distribution array</param>
/// <param name="weight2">The second weight</param>
/// <param name="b">The second distribution array</param>
public void SetToSum(double weight1, DistributionRefArray <T, DomainType> a, double weight2, DistributionRefArray <T, DomainType> b)
{
Distribution.SetToSum(array, weight1, a.array, weight2, b.array);
}
/// <summary>
/// Set the parameters to represent the power of a source distribution to some exponent
/// </summary>
/// <param name="a">The source distribution array</param>
/// <param name="exponent">The exponent</param>
public void SetToPower(DistributionRefArray <T, DomainType> a, double exponent)
{
Distribution.SetToPower(array, a.array, exponent);
}
/// <summary>
/// Set the parameters to represent the ratio of two distributions
/// </summary>
/// <param name="numerator">The numerator distribution array</param>
/// <param name="denominator">The denominator distribution array</param>
/// <param name="forceProper">Argument passed to T.SetToRatio</param>
public void SetToRatio(DistributionRefArray <T, DomainType> numerator, DistributionRefArray <T, DomainType> denominator, bool forceProper)
{
Distribution.SetToRatio(array, numerator.array, denominator.array, forceProper);
}
/// <summary>
/// Set the parameters to represent the product of two distributions
/// </summary>
/// <param name="a">The first distribution array</param>
/// <param name="b">The second distribution array</param>
public void SetToProduct(DistributionRefArray <T, DomainType> a, DistributionRefArray <T, DomainType> b)
{
Distribution.SetToProduct(array, a.array, b.array);
}
/// <summary>
/// Set the parameters of this distribution to match those of the given distribution (by value)
/// </summary>
/// <param name="that"></param>
public void SetTo(DistributionRefArray <T, DomainType> that)
{
base.SetTo(that);
}
