Reference25 articles.
1. Sha, L., et al.: Interactive sports analytics: an intelligent interface for utilizing trajectories for interactive sports play retrieval and analytics. ACM Trans. Comput. Hum. Interact. 25, 1–32 (2018).
https://doi.org/10.1145/3185596
2. Percy, D.F.: Strategy selection and outcome prediction in sport using dynamic learning for stochastic processes. J. Oper. Res. Soc. 66(11), 1840–1849 (2015)
3. Goldsberry, K.: CourtVision: new visual and spatial analytics for the NBA. In: MIT Sloan 6th Annual Sports Analytics Conference (SSAC 2012), pp. 1–7, 2–3 March 2012
4. Franks, A., Miller, A., Bornn, L., Goldsberry, K.: Characterizing the spatial structure of defensive skill in professional basketball. Ann. Appl. Stat. 9(1), 94–121 (2015)
5. Cervone, D., D’Amour, A., Bornn, L., Goldsberry, K.: A multiresolution stochastic process model for predicting basketball possession outcomes. J. Am. Stat. Assoc. 111, 585–599 (2014).
https://doi.org/10.1080/01621459.2016.1141685
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