I am trying to build a log Normal model. Below is an example of the code that I am working on - a = pm.Normal("a", mu = 10, sd = 1) b1= pm.Normal("b1", mu = 2, sd = 1) b2= pm.Normal("b2", mu = 2, sd = 1) mu=a+b1*df['x1']+b2*df['x2'] contrib=pm.Deterministic("contrib",b1*df['x1']+b2*df['x2']) sd =…

Variable values in a Log normal model

ricardoV94 July 21, 2023, 2:50pm 2

You can exponentiate the values inside the Deterministic with pm.math.exp if I understand you correctly.

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