Jointprob public talk 1: Bayesian Hierarchical Models with David MacGillivray
Channel: Sci Cloj
Date: 17/09/2023

At this public session of the Jointprob study community on Aug 26, 2023, David MacGillivray demonstrated Bayesian Hierarchical Models through a real-world problem.

David reproduced the results of the paper "Bayesian hierarchical model for the prediction of football results" by Gianluca Baio and Marta A. Blangiardo using PyMC 5, compared a few variations of the models, and discussed a few of the problems & solutions that arise (e.g., Neal's funnel and non-centered reparametrization).

Original paper:
https://discovery.ucl.ac.uk/id/eprint/16040/1/16040.pdf

David's code:
https://github.com/jointprob/hierarchical-soccer-model/

Background on this meeting:
https://scicloj.github.io/blog/the-jointprob-community-changes-on-the-agenda-and-an-upcoming-talk-about-bayesian-hierarchical-models/

Jointprob community page:
https://scicloj.github.io/docs/community/groups/jointprob/