Is sampler not seen as part of theory? I thought sometimes sampling is part of the algorithmic level hypothesis. Coincidentally, just saw this come by on the #iccmpsyched hashtag:https://twitter.com/flosense/status/1021071829623091200?s=21 …
• goth gremlin • computational cognitive/neuroscience modeling • geek & techish Cypriot • plant aficionada • came up with #bropenscience • http://neuroplausible.com •
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Iris van Rooij Retweeted Florian Sense
Is sampler not seen as part of theory? I thought sometimes sampling is part of the algorithmic level hypothesis. Coincidentally, just saw this come by on the #iccmpsyched hashtag:https://twitter.com/flosense/status/1021071829623091200?s=21 …
Iris van Rooij added,
Interesting. I wouldn't think so though. If I implement my model in stan, and then switch to jags, I wouldn't think I would change anything about my theory.
Oh, I see my ambiguity. I just meant Bayesian inference, not Bayesian theory of mind.
Ah, you meant Bayesian inference by the scientist? Then understood!
Here's something that helps I think for those who haven't been exposed before. I'm not equivocating between theory and spec but they can serve a similar role. https://figshare.com/articles/Varieties_of_Reproducibility_in_Empirical_and_Computational_Domains/6818018 …pic.twitter.com/3GTTzV3gIH
Brain still melting here but I need to take a transatlantic flight so gotta be strong. 

Also within each implementation there are experiments which also of course belong to the model and the theory but given the implementation contains details specific just to it the experiment can have different repercussions for each box.
Thanks so much for this
I'm sure people have written this up in many places already but I'm also sure people who do modelling or are adjacent to modellers often aren't exposed to this. Maybe I should write a blog post? 
OK, when I'm back I'll spare some time! I'll circulate it privately first too, so lemme know if you're up for feedback/proofing/etc. I'd be terribly indebted. 
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