Hi, I have implemented a blackbox likelihood function in my model, using the framework described in Using a “black box” likelihood function (numpy) — PyMC example gallery In this code, there is a user-defined log likelihood function: def my_loglike(theta, x, data, sigma): model = my_model(the…

The example shouldn’t have data and x be passed to __init__ which make is unnecessarily restrictive and doesn’t really match the CustomDist API. I’ll update the example, but for now your logp function would look something like: def logp(value, x, theta): # `value` and `x` are ignored because they…

Explanation of logp and customDist for Blackbox likelihood functions

Questions v5

ricardoV94 February 2, 2024, 1:29pm 5

As promised: Update blackbox likelihood example by ricardoV94 · Pull Request #631 · pymc-devs/pymc-examples · GitHub

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Explanation of logp and customDist for Blackbox likelihood functions

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