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Predicting scoring trends in basketball games based on multivariate time series analysis


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Xin, L., Zhu, M., & Chipman, H. (2017). A continuous-time stochastic block model for basketball networks. Statistics, 11(2). Search in Google Scholar

Wang, Z., Xiao, J., Liu, Y., Liu, Y., Zhang, B., & Wang, Y. (2019). Regression analysis of control and prediction of scoring ability in basketball matches. Basic & clinical pharmacology & toxicology.(S2), 125. Search in Google Scholar

Molics, B., ács, P, Boncz, Kiss, G., & Vajda, Z. (2017). Examination of the effectiveness of core training between junior women basketball players to prevent sports injuries. Value in Health, 20(9), A542. Search in Google Scholar

Bühren, Christoph, & Kadriu, V. (2020). The fairness of long and short abba-sequences: a basketball free-throw field experiment. Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), 89. Search in Google Scholar

Raúl Martínez-Santos, Endika Martínez-Gutiérrez, & Mikel Mujika-García. (2017). Temporal logic of free throwing in the spanish a.c.b. basketball competition. Revista de Psicologia del Deporte, 26(3), 101-107. Search in Google Scholar

Daud, A., & Zafar Mahmood, R. A. A. (2020). Using machine learning techniques for rising star prediction in basketball. Knowledge-Based Systems, 211. Search in Google Scholar

Nottingham, K. T., Pedersen, K., Zhao, X., Butler, B. A., & Warnick, S. (2018). Supervised machine learning for crowd noise classification at collegiate basketball games. The Journal of the Acoustical Society of America, 144(3), 1829-1829. Search in Google Scholar

Rogers, M., Crozier, A. J., Schranz, N. K., Eston, R. G., & Tomkinson, G. R. (2022). Player profiling and monitoring in basketball: a delphi study of the most important non-game performance indicators from the perspective of elite athlete coaches. Sports medicine(5), 52. Search in Google Scholar

Klapprodt, K. L., Fitzgerald, J. S., Short, S. E., Manning, J. T., & Tomkinson, G. R. (2018). Relationships between the digit ratio (2d:4d) and game‐related statistics in professional and semi‐ professional male basketball players. American Journal of Human Biology, 30(6). Search in Google Scholar

Kang, J. (2019). Research on technical analysis of basketball match based on data mining. Basic & clinical pharmacology & toxicology.(S9), 125. Search in Google Scholar

Vázquez-Guerrero, Jairo, Suarez-Arrones, L., Casamichana Gómez, David, & Rodas, G. (2018). Comparing external total load, acceleration and deceleration outputs in elite basketball players across positions during match play. Kinesiology, 50(2). Search in Google Scholar

Rubén Dehesa, Vaquera, A., Gonalves, B., Mateus, N., & Sampaio, J. (2019). Key game indicators in nba players’ performance profiles. Kinesiology, 51(1), 92-101. Search in Google Scholar

Koopman, S. J., & Lit, R. (2017). Forecasting football match results in national league competitions using score-driven time series models. Social Science Electronic Publishing. Search in Google Scholar

B, K. S. A., & B, J. S. A. (2020). A gamma process based in-play prediction model for national basketball association games - sciencedirect. European Journal of Operational Research, 283( 2), 706-713. Search in Google Scholar

Xu, J., & Yi, C. (2021). The scoring mechanism of players after game based on cluster regression analysis model. Mathematical Problems in Engineering, 2021(3), 1-7. Search in Google Scholar

Gregory, J. (2018). Do basketball scoring patterns reflect illegal point shaving or optimal in‐game adjustments?. Quantitative Economics, 9. Search in Google Scholar

Boddington, B. J., Cripps, A. J., Scanlan, A. T., & Spiteri, T. (2020). Operation of the basketball jump shooting accuracy test: intra- and inter-rater reliability of scoring procedures and floor and ceiling effects for test performance: International Journal of Sports Science & Coaching, 15(2), 220-226. Search in Google Scholar

Clemente, F. M., Sarah da Glória Teles Bredt, Praa, G. M., Duarte, E., & Mendes, B. (2020). Relationships between wellness status and perceived training load on daily and weekly bases over a basketball season. Kinesiology(01). Search in Google Scholar

Matthieu, Droumaguet, Anders, Warne, Tomasz, & Woźniak. (2017). Granger causality and regime inference in markov switching var models with bayesian methods. Journal of Applied Econometrics. Search in Google Scholar

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Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics