Modelling soccer matches using bivariate discrete distributions with general dependence structure

DOI10.1111/j.1467-9574.2007.00368.xzbMath1149.62338OpenAlexW1982045290MaRDI QIDQ3542546

Ian G. McHale, Phil Scarf

Publication date: 1 December 2008

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9574.2007.00368.x

zbMATH Keywords

copulanegative dependencebivariate Poisson

Mathematics Subject Classification ID

Characterization and structure theory for multivariate probability distributions; copulas (62H05) Applications of statistics (62P99)

Related Items (9)

Modeling Multivariate Count Data Using Copulas ⋮ Introducing Lasso-type penalisation to generalised joint regression modelling for count data ⋮ Generalised joint regression for count data: a penalty extension for competitive settings ⋮ Some contributions on the multivariate Poisson–Skellam probability distribution ⋮ Joint modelling of two count variables when one of them can be degenerate ⋮ Exploring and modelling team performances of the Kaggle European Soccer database ⋮ The importance of a match in a tournament ⋮ Copula-Based Models for Multivariate Discrete Response Data ⋮ A multivariate Poisson regression model for count data

Uses Software

• R

Cites Work

• Unnamed Item
• An introduction to copulas.
• A class of bivariate Poisson processes
• Statistical Inference Procedures for Bivariate Archimedean Copulas
• A bivariate Poisson count data model using conditional probabilities
• Predicting the Outcomes of Annual Sporting Contests

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