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Bayesian forecasting of UEFA Champions League under alternative seeding regimes
Corona, Francisco; Forrest, David; Tena, J. D.; Wiper, … - In: International journal of forecasting 35 (2019) 2, pp. 722-732
Persistent link: https://www.econbiz.de/10012300721
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eSport, Netzwerkeffekte und Lindahl-Preise
Sauer, Annika - 2019
Persistent link: https://www.econbiz.de/10012028312
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Management von Ligen in Individualsportarten : eine empirische Untersuchung auf Basis der Anreiz‐Beitrags‐Theorie
Zimmermann, Timo - 2019
Persistent link: https://www.econbiz.de/10011955381
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A profitable model for predicting the over/under market in football
Wheatcroft, Edward - In: International journal of forecasting 36 (2020) 3, pp. 916-932
Persistent link: https://www.econbiz.de/10012497073
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Interpretable sports team rating models based on the gradient descent algorithm
Lasek, Jan; Gagolewski, Marek - In: International journal of forecasting 37 (2021) 3, pp. 1061-1071
Persistent link: https://www.econbiz.de/10012794803
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Predictive analysis and modelling football results using machine learning approach for English Premier League
Baboota, Rahul; Kaur, Harleen - In: International journal of forecasting 35 (2019) 2, pp. 741-755
Persistent link: https://www.econbiz.de/10012300725
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Optimizing the allocation of funds of an NFL team under the salary cap
Mulholland, Jason; Jensen, Shane T. - In: International journal of forecasting 35 (2019) 2, pp. 767-775
Persistent link: https://www.econbiz.de/10012300727
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Forecasting football match results in national league competitions using score-driven time series models
Koopman, Siem Jan; Lit, Rutger - In: International journal of forecasting 35 (2019) 2, pp. 797-809
Persistent link: https://www.econbiz.de/10012300729