Characterizing the spatial structure of defensive skill in professional basketball

DOI10.1214/14-AOAS799zbMath1454.62538arXiv1405.0231OpenAlexW3098363914MaRDI QIDQ2349558

Yanyan Li

Publication date: 17 June 2015

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

Full work available at URL: https://arxiv.org/abs/1405.0231

zbMATH Keywords

hidden Markov modelsnonnegative matrix factorizationBayesian hierarchical modelsbasketball

Mathematics Subject Classification ID

Applications of statistics (62P99)

Related Items (8)

Modeling Offensive Player Movement in Professional Basketball ⋮ The role of intrinsic dimension in high-resolution player tracking data -- insights in basketball ⋮ The causal effect of a timeout at stopping an opposing run in the NBA ⋮ Football tracking data: a copula-based hidden Markov model for classification of tactics in football ⋮ Filtering active moments in basketball games using data from players tracking systems ⋮ Testing and ranking on round-robin design for data sport analytics with application to basketball ⋮ Markov decision processes with dynamic transition probabilities: an analysis of shooting strategies in basketball ⋮ Basketball predictions in the NCAAB and NBA: Similarities and differences

Uses Software

• Stan
• PMTK
• PRMLT

Cites Work

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• Competing process hazard function models for player ratings in ice hockey
• Hidden semi-Markov models
• Multinomial logistic regression algorithm
• Inference from iterative simulation using multiple sequences
• Log Gaussian Cox Processes
• Statistics for Spatial Data
• Learning the parts of objects by non-negative matrix factorization
• Semi-Markov processes and reliability

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