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Final project of the Information Theory course of the Physics of Data Master degree, University of Padova. It is related to an application of AR-HMM algorithms to soccer, inferring the players and whole team states at given instants of the game.

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Information Theory final project

It is related to an extension of the AR-HMM model Linderman, Scott, et al. "Bayesian learning and inference in recurrent switching linear dynamical systems." Artificial intelligence and statistics. PMLR, 2017.. We apply this kind of algorithm to predict the states of soccer players during a game.

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