Prevent prior from updating?

Hi @junpenglao ,

Thank you for your response.
I would like to set a parameter used in my model to a certain normal distribution with known mu and sigma, which should not change due to the observed data outcome. Now this tends to happen if I naively set this prior within the pymc3 model I set up.

Are there any examples where someone uses theano shared random streams to do this within a pymc3 model?

Thanks!