Football tracking data: a copula-based hidden Markov model for classification of tactics in football

DOI10.1007/S10479-022-04660-0OpenAlexW4224324200MaRDI QIDQ6170875

Dimitris Karlis, Marius Ötting

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/s10479-022-04660-0

zbMATH Keywords

copulahidden Markov modelfootballsports analyticstracking data

Mathematics Subject Classification ID

Statistics (62-XX) Inference from stochastic processes (62Mxx) Multivariate analysis (62Hxx)

Cites Work

• Model-based clustering using copulas with applications
• Selecting the number of states in hidden Markov models: pragmatic solutions illustrated using animal movement
• Characterizing the spatial structure of defensive skill in professional basketball
• Dependence Modeling with Copulas
• HIDDEN MARKOV STRUCTURES FOR DYNAMIC COPULAE
• The multivariate L ₁ -median and associated data depth
• Multivariate Poisson hidden Markov models with a case study of modelling seismicity
• Multivariate Hidden Markov Models for disease progression
• Modelling team performance in soccer using tactical features derived from position tracking data
• Hidden Markov Models for Time Series

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