Hi I am trying to establish a model to describe strength data, with the following structure: X \sim Normal(\mu,\sigma) C \sim Beta(\alpha,\beta) Y = C.X where my data are the measured strength of corroded samples, per Y. Here C represents a reduction factor (in the range 0 to 1, hence Beta is…

I don’t think the suggestion in that link is right. You can try to use scipy to approximate the integral, but there’s no pre-built stuff so you may need to have a look at: Using a “black box” likelihood function — PyMC example gallery

Observed data as a product of distributions

Questions version agnostic

cowirihy March 10, 2025, 4:42pm 2

I found this: Product of two probabilities distributions - Questions - PyMC Discourse which I will consider

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Observed data as a product of distributions

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