Is it possible to change the prior (or the parameters of the prior) during the inference? I tried defining the prior with the shared variable as shown below. shared_mu = shared(np.ones(d)) shared_sd = shared(np.ones(d)) w = pm.Normal(‘w’, mu=shared_mu, sd=shared_sd, shape=d) Then I get an err…

Changing prior during inference

junpenglao August 10, 2018, 7:12am 2

you can, the error you are seeing is a bug, see workaround here: Normal distribution throws errors when using shared variables

Topic		Replies	Views
Normal distribution throws errors when using shared variables Questions	3	1122	August 7, 2018
Prevent prior from updating? Questions	9	2126	February 12, 2023
Shared variables not reflecting v5 pytensor	3	70	September 21, 2024
Problem with shared variable for means Questions theano	2	1141	June 14, 2019
Latent GP prior on X=theano.shared node with changing shape Questions theano	2	650	November 17, 2017