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POINTWISE: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data
1 references·2 citing·11 second hop
POINTWISE: Predicting Points and Valuing Decisions in Real Time with NBA Optical Tracking Data (2014)POINTWISE: Predicting Points and Valuing …An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)An Explicit Link between Gaus…Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned (2024)Methodology and evaluation in…Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction (2014)Learning Fine-Grained Spatial…Spatial Interaction and the Statistical Analysis of Lattice Systems (1974)Design and Analysis of Computer Experiments (1989)Statistics for Spatial Data (1993)Spatial and spatio-temporal models with R-INLA (2013)Spatial and spatio-temporal models with R-INLA (2013)Bayesian Spatial Modelling withR-INLA (2015)Characterizing the spatial structure of defensive skill in professional basketball (2015)Player Tracking Data in Sports (2022)Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances (2011)Research Priorities for Robust and Beneficial Artificial Intelligence (2015)A note on the validity of cross-validation for evaluating autoregressive time series prediction (2017)
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References

  • 2011An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach2,705 cited

Cited by

  • 2024Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned88 cited
  • 2014Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction87 cited

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