I’m working with a complex stochastic model that and would like some guidelines on how to tackle it. 1. Model description The model consists of a set of pdf’s with unknown parameters. The pdf’s are sampled in a controlled way, leading to a bunch of molecules. These molecules are then used to calcu…

What may happen is that for a specific point in the parameter space i have multiple likelihood values due to it’s stochastic nature. Hmm, I don’t think this is the right way to think about this. Probability densities aren’t random. If you need to know some probabilities to evaluate other probabi…

[image] betanalpha: it’s just the implementation of the marginalization that’s random due to the use of a stochastic algorithm like MCMC. I completey agree and it’s what I meant by “they can require randomization to evaluate”.

A big stochastic model in Stan

Modeling

Bob_Carpenter October 22, 2017, 2:18am 21

I completey agree and it’s what I meant by “they can require randomization to evaluate”.

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A big stochastic model in Stan

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