Hi, I am kind of a newbie to pymc and previously worked with stan and Turing. My goal is to implement a model which depends on many stimulus properties with pymc where two distributions are combined to a new one, which further serves as pobability estimate of the number of responses. Depending on t…

[image] uferc: combined = pm.Normal('combined',bias_distr+stim_distr) This is not going to work as PyMC does not yet provide functionality to combine distribution. However, since you are combining Normal distribution it makes it somewhat easier: # bias_distr = pm.Normal('bias_distr', m…

Combine two distributions to new one & scale parameter modifying probability depending on category

Questions version agnostic

junpenglao August 12, 2022, 9:32am 6

Recommend you to change sigma to HalfNormal instead (since you truncate at 0 with mu=0 the two is equivalent)

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Combine two distributions to new one & scale parameter modifying probability depending on category

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