Markov Decision Processes and ARIMA models to analyze and predict Ice Hockey player’s performance

Markov Decision Processes and ARIMA models to analyze and predict Ice Hockey player’s performance

In this thesis, player’s performance on ice hockey is modelled to create newmetricsby match and season for players. AD-trees have been used to summarize ice hockey matches using state variables, which combine context and action variables to estimate the impact of each action under that specific state...

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Bibliographic Details
Main Author: Sans Fuentes, Carles
Format: Others
Language:English
Published: Linköpings universitet, Statistik och maskininlärning 2019
Subjects:
Markov Decision Processes
Arima models
Ice hockey
Ad-tree
modelling
prediction
Probability Theory and Statistics
Sannolikhetsteori och statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154349

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154349

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