Posts by Lorenzo Toniazzi
NBA Foul Analysis with Item Response Theory
- 17 April 2022
This tutorial shows an application of Bayesian Item Response Theory [Fox, 2010] to NBA basketball foul calls data using PyMC. Based on Austin Rochford’s blogpost NBA Foul Calls and Bayesian Item Response Theory.
Lasso regression with block updating
- 10 February 2022
Sometimes, it is very useful to update a set of parameters together. For example, variables that are highly correlated are often good to update together. In PyMC block updating is simple. This will be demonstrated using the parameter step
of pymc.sample
.