Football tracking data: a copula-based hidden Markov model for classification of tactics in football
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DOI: 10.1007/s10479-022-04660-0
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- Angel Ric & Carlota Torrents & Bruno Gonçalves & Lorena Torres-Ronda & Jaime Sampaio & Robert Hristovski, 2017. "Dynamics of tactical behaviour in association football when manipulating players' space of interaction," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-16, July.
- Daniel Cervone & Alex D’Amour & Luke Bornn & Kirk Goldsberry, 2016. "A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 585-599, April.
- Jennifer Pohle & Roland Langrock & Floris M. Beest & Niels Martin Schmidt, 2017. "Selecting the Number of States in Hidden Markov Models: Pragmatic Solutions Illustrated Using Animal Movement," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(3), pages 270-293, September.
- Lopez Michael J., 2020. "Bigger data, better questions, and a return to fourth down behavior: an introduction to a special issue on tracking datain the National football League," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 16(2), pages 73-79, June.
- Marius Ötting & Roland Langrock & Antonello Maruotti, 2023. "A copula-based multivariate hidden Markov model for modelling momentum in football," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 9-27, March.
- Härdle, Wolfgang Karl & Okhrin, Ostap & Wang, Weining, 2015. "Hidden Markov Structures For Dynamic Copulae," Econometric Theory, Cambridge University Press, vol. 31(5), pages 981-1015, October.
- Martino, Andrea & Guatteri, Giuseppina & Paganoni, Anna Maria, 2020. "Hidden Markov Models for multivariate functional data," Statistics & Probability Letters, Elsevier, vol. 167(C).
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Keywords
Copula; Football; Hidden Markov model; Sports analytics; Tracking data;All these keywords.
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