Markov decision processes with dynamic transition probabilities: an analysis of shooting strategies in basketball

DOI10.1214/20-AOAS1348zbMath1470.62179arXiv1812.05170MaRDI QIDQ2044233

Nathan Sandholtz, Luke Bornn

Publication date: 4 August 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1812.05170

zbMATH Keywords

simulationMarkov decision processBayesian hierarchical modelbasketballoptical tracking data

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Markov processes: estimation; hidden Markov models (62M05) Compound decision problems in statistical decision theory (62C25)

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Uses Software

• Stan

Cites Work

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• On the limiting probability distribution of a transition probability tensor