PyMC dimensions are just labels for the output of sampling. All broadcasting logic is positionally-like numpy so you need to make sure the variables are aligned correctly like you would do in numpy
PyMC dimensions are just labels for the output of sampling. All broadcasting logic is positionally-like numpy so you need to make sure the variables are aligned correctly like you would do in numpy