Hierarchical Modelling in Stan: Predicting the Premier League

Welcome to the official Stan youtube channel! Stan is a state-of-the-art probabilistic programming language. Here we will be releasing new videos regularly covering everything from how to use Stan to bayesian statistics.
In this video, we will see how to implement a hierarchical model in Stan applied to the outcomes of the premiere league 19/20 season football matches. The hierarchical method will be compared to non-hierarchical methods to highlight the benefits in using this approach.
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Extra reading:
betanalpha.github.io/assets/c...
jrnold.github.io/bayesian_not...
mc-stan.org/users/documentati...
The model used here is loosely based from:
discovery.ucl.ac.uk/id/eprint...
We are also on twitter
@mcmc_stan
Links:
Stan website: mc-stan.org
Stan community: discourse.mc-stan.org
Support Stan: mc-stan.org/support/
Github link to code & model: github.com/MaggieLieu/STAN_tu...
Premiere league 19/20 data adapted from:
github.com/openfootball/england
Rstan installation:
• Getting started with S...
Pystan installation:
• Getting started with S...

[@COOLSerdash]

It would be great if the data and scripts used in the video were publicly available so that users could work through the examples themselves.

[@kheaganeckley8385]

Brilliant

[@uttasargasingh9911]

Hello Ma'am, Great Video! Could you explain How do we set priors?

[@albert7075]

what makes the attack and defence parameters differ across teams when they are draw from the same distribution?

[@wangminjie8640]

where do I purchase T-shirt?

[@espabilate_]

Amazing videos. Have you thought of creating a patreon?

[@ahmadzaimhilmi]

No example in python?

[@nathanbarnard7896]

Great video
but
Aston Villa are not that good

[@stephendye2924]

Might have been in 1920 though :)