Hierarchical Modelling in Stan: Predicting the Premier League скачать в хорошем качестве

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. To make sure that you don't miss out on our content, make sure you hit the subscribe button and click the bell. Extra reading: https://betanalpha.github.io/assets/c... https://jrnold.github.io/bayesian_not... https://mc-stan.org/users/documentati... The model used here is loosely based from: https://discovery.ucl.ac.uk/id/eprint... We are also on twitter @mcmc_stan Links: Stan website: https://mc-stan.org Stan community: https://discourse.mc-stan.org Support Stan: https://mc-stan.org/support/ Github link to code & model: https://github.com/MaggieLieu/STAN_tu... Premiere league 19/20 data adapted from: https://github.com/openfootball/england Rstan installation:    • Getting started with Stan in R   Pystan installation:    • Getting started with Stan in Python