26: Variational Bayesian inference

This lesson was written by Heidi Klumpe and Justin Bois.

[2]:

import io

import numpy as np
import pandas as pd

import cmdstanpy
import arviz as az

import iqplot
import bebi103

import holoviews as hv
hv.extension('bokeh')

bebi103.hv.set_defaults()

import bokeh.io
import bokeh.plotting
bokeh.io.output_notebook()

/Users/bois/opt/anaconda3/lib/python3.9/site-packages/colorcet/__init__.py:74: UserWarning: Trying to register the cmap 'cet_gray' which already exists.
  register_cmap("cet_"+name, cmap=cm[name])
/Users/bois/opt/anaconda3/lib/python3.9/site-packages/colorcet/__init__.py:74: UserWarning: Trying to register the cmap 'cet_gray_r' which already exists.
  register_cmap("cet_"+name, cmap=cm[name])