Forecasting binary outcomes in soccer

DOI10.1007/s10479-021-04224-8OpenAlexW3197767830MaRDI QIDQ6170869

Raffaele Mattera

Publication date: 13 July 2023

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-021-04224-8

zbMATH Keywords

Bernoulli distributionbinary time seriesgeneralized autoregressive scoresport statisticssport analytics

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Parametric inference (62Fxx) Inference from stochastic processes (62Mxx)

Related Items (1)

An extension of correspondence analysis based on the multiple Taguchi's index to evaluate the relationships between three categorical variables graphically: an application to the Italian football championship

Cites Work

• On binary and categorical time series models with feedback
• Measuring the efficiency of NBA teams: additive efficiency decomposition in two-stage DEA
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• Dynamic probit models and financial variables in recession forecasting
• Markov Regression Models for Time Series: A Quasi-Likelihood Approach
• Generalized Autoregressive Moving Average Models
• PARX model for football match predictions
• Time Series Models Based on Generalized Linear Models: Some Further Results
• An Econometric Analysis of Some Models for Constructed Binary Time Series

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