How to create Non-Central Student's T distribution and what priors to use with the distribution?

Questions
8

To simply get the variable names you can use trace.varnames

For diagnostics it’s best to use the library ArviZ.

import arviz as az
.....

    trace = pm.sample()
    idata = az.from_pymc3(trace)

then you can use the many useful functions from ArviZ such as, az.plot_trace(), az.summary(), az.plot_posterior()