The course is aimed at giving the background of modern statistical football modelling, starting from the seminal works focused on the double Poisson distributions for the number of the goals until the most recent research lines oriented towards the use of additional covariates, tracking data and machine learning methods.
The course covers many statistical modelling strategies and requires a satisfactory knowledge of R.
The instructors will provide both theoretical material and R code to reproduce some practical examples. Although the flavor of the course is mainly Bayesian, ‘classical’ statisticians can anyway enjoy the course’s contents in a perfect way.
Registration fee for the short course: May 31, 202 – 120 euro
NOTE: All participants should have R installed in their computers. Some implementations will be possibly in OpenBUGS, Jags or STAN and footbayes package in R (Discover more here)