Bayes@Lund2023
Bayes
Stan
Julia
Decisions
Value of Information
A recording of my presentation on value of information analysis at the Bayes@Lund2023 conference.
Player form. Part 1: Overview
football
analysis
Stan
uncertainty
Bayes
gaussian process
When is a player in form (over performing, or enjoying a hot streak) and how long does this last? If there is such an effect, I suspect it will be a result of some complicated system of personal…
Uncertainty in xG. Part 2: Partial Pooling
football
analysis
xg
Stan
uncertainty
Bayes
multi-level modelling
partial pooling
This is part 2 of an article on fitting a Bayesian partial pooling model to predict expected goals. It has the benefits of (a) quantifying aleatory and epistemic uncertainty, and (b) making both group-level (player-specific) and population-level (team-specific) probabilistic predictions. If you are interested in these ideas but not…
Uncertainty in xG. Part 1: Overview
football
analysis
xg
Stan
uncertainty
Bayes
multi-level modelling
partial pooling
The Expected Goals (xG) metric is now widely recognised as numerical measure of the quality of a goal scoring opportunity in a football (soccer) match. In this article we consider how to deal with uncertainty in predicting xG, and how each players individual…
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