A discrete-time and finite-state Markov chain based in-play prediction model for NBA basketball matches
Shi, Jian1,2; Song, Kai1,2
刊名COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
2021-11-02
卷号50期号:11页码:3768-3776
关键词Betting In-play predictions Markov chain Positive returns Uncertainty analysis
ISSN号0361-0918
DOI10.1080/03610918.2019.1633351
英文摘要In this article, a discrete-time and finite-state Markov chain model is developed to fit the NBA basketball data. It can be used to produce in-play prediction for basketball matches. An iterative algorithm is designed to calculate probabilities of the final score difference. Empirical study shows that the proposed model performs well, and more profoundly it can have positive return when we bet with the market.
WOS研究方向Mathematics
语种英语
出版者TAYLOR & FRANCIS INC
WOS记录号WOS:000715739100019
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/59527]  
专题中国科学院数学与系统科学研究院
通讯作者Song, Kai
作者单位1.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Shi, Jian,Song, Kai. A discrete-time and finite-state Markov chain based in-play prediction model for NBA basketball matches[J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,2021,50(11):3768-3776.
APA Shi, Jian,&Song, Kai.(2021).A discrete-time and finite-state Markov chain based in-play prediction model for NBA basketball matches.COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,50(11),3768-3776.
MLA Shi, Jian,et al."A discrete-time and finite-state Markov chain based in-play prediction model for NBA basketball matches".COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 50.11(2021):3768-3776.
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