Hi! I have a quite hard question that have haunting me for months. I’m building a complicated model which looks like this: [image] In the red circle, I make the random variables “ARR” and “LARR” equal by soft zero difference: zerodiff = pm.Normal.dist(mu=0, sigma=0.01) pm.Potential(f"z…

I guess I would try to avoid defining a model that way. If you want y to be a function of X, link them directly via regression. Something like y = pm.Normal('y', mu = hyper_y_mu + beta_y * X, sigma = hyper_y_sigma). My advice would be that any time you run into a situation where you want to impose …

Make two random variables equal

Questions v5

jessegrabowski June 20, 2023, 3:46am 2

LARR doesn’t have any parent nodes (except for the hierarchical parameters), so why not merge the two variables and have T_{\mu_{LARRTG}} and T_{\mu_{LARR}} inherit from \mu_{ARR}?

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Make two random variables equal

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