A generalised joint count data regression framework for modelling football scores

• Autores: Hendrik van der Wurp, Andreas Groll, Thomas Kneib, Giampiero Marra, Rosalba Radice
• Localización: Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain / Itziar Irigoien Garbizu (ed. lit.), Dae-Jin Lee (ed. lit.), Joaquín Martínez Minaya (ed. lit.), María Xosé Rodríguez Álvarez (ed. lit.), 2020, ISBN 978-84-1319-267-3, págs. 242-247
• Idioma: inglés
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• Resumen

  • We propose a versatile joint regression framework for count responses.

    The method is implemented in the R add-on package GJRM and allows for modelling linear and non-linear dependence through the use of several copulae. Motivated by a football application, an extension is proposed, which forces the regression coecients of the marginal (linear) predictors to be equal via suitable penalisation. We investigate the method's empirical performance in both a simulation study and on FIFA World Cup data.