The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models
From MaRDI portal
Publication:6107413
DOI10.1007/s10182-021-00411-xOpenAlexW3183655168MaRDI QIDQ6107413
Lucio Palazzo, Riccardo Ievoli, Aldo Gardini
Publication date: 3 July 2023
Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10182-021-00411-x
Poisson regressionskellam distributionnetwork intensityregularized horseshoe priorUEFA champions league
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
- Sparsity information and regularization in the horseshoe and other shrinkage priors
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- Extended ordered paired comparison models with application to football data from German Bundesliga
- Lasso meets horseshoe: a survey
- Bayesian modelling of football outcomes: using the Skellam's distribution for the goal difference
- The Bayesian Lasso
- Analysis of the importance of on-field covariates in the German Bundesliga
- Bayesian hierarchical model for the prediction of football results
- Analysis of association football playing styles: An innovative method to cluster networks
- Exploring and modelling team performances of the Kaggle European Soccer database
- Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)
This page was built for publication: The role of passing network indicators in modeling football outcomes: an application using Bayesian hierarchical models