Do I need to be concerned about how the NUTS sampler handles no samples for a few array items being used for ‘n’ in the Binomial likelihood? Also, are floats provided as trials (n) and successes (observed) converted to integer? (e.g., 0.6 => 0 )

Yes n is automatically converted to int. n=0 should be fine. You can always try yourself by calling value = 0 pm.Binomial.dist(n=0, p=0.5).logp(value).eval() # array(0.)

How does pymc3 handle n=0 in Binomial discrete likelihood function

Questions

ricardoV94 March 14, 2022, 3:05pm 8

@theo Do you mind opening an issue on Github?

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How does pymc3 handle n=0 in Binomial discrete likelihood function

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