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bvenn avatar bvenn commented on July 2, 2024

This happens because of floating point errors. The PDF is defined as:

PDF(x) =
(x ** (alpha - 1.0)) * ((1.0 - x) ** (beta - 1.0)) / (SpecialFunctions.Beta._beta alpha beta)

The first factor: 0.5599 already returns 0.0. The maximal exponent to get a valid result is 0.5248 resulting in 1.976262583e-323.

Either the variables must be converted from float to decimal to facilitate the calculation with such extreme values, or there is an alternative algorithm to determine the PDF without the need for these extreme values.

(Wikipedia PDF)

https://github.com/mathnet/mathnet-numerics/blob/bc0bd6e4b33b8f58e99ff854755b4a3220881a84/src/Numerics/Distributions/Beta.cs#L559

https://www.itl.nist.gov/div898/handbook/eda/section3/eda366h.htm

from fsharp.stats.

bvenn avatar bvenn commented on July 2, 2024

I've transformed the PDF to its corresponding PDFLn and updated the density estimation with a switch for high alpha/beta parameters.
The function is tested for alpha/beta <= 2000 but should handle values way above this.

(beta 600. 600.).PDF 0.5     // F#Stats   27.63377432

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