CSpace
A gamma process based in-play prediction model for National Basketball Association games
Song, Kai1,2; Shi, Jian1,2
2020-06-01
发表期刊EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
ISSN0377-2217
卷号283期号:2页码:706-713
摘要This paper presents an in-play prediction model based on the gamma process for the scoring processes of the National Basketball Association matches. The model is team-specific, i.e., it takes account of the relative strengths of the two teams playing in a match. The dependence between the home and away scoring processes is characterized by a common latent variable. A Bayesian dynamic forecasting procedure for future games is developed, which utilizes the in-match information to update the scale parameter of the model as the match progresses. An evaluation against baseline models is provided in an empirical study. Our proposed model can predict the final score and total points, while the baseline models are unable to make such predictions. Furthermore, our model can produce positive returns on the point spread betting market and the over-under betting market. (C) 2019 Elsevier B.V. All rights reserved.
关键词OR in sports Gamma process in-play prediction Bayesian method Betting
DOI10.1016/j.ejor.2019.11.012
收录类别SCI
语种英语
WOS研究方向Business & Economics ; Operations Research & Management Science
WOS类目Management ; Operations Research & Management Science
WOS记录号WOS:000515445500021
出版者ELSEVIER
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/50893
专题中国科学院数学与系统科学研究院
通讯作者Shi, Jian
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
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GB/T 7714
Song, Kai,Shi, Jian. A gamma process based in-play prediction model for National Basketball Association games[J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH,2020,283(2):706-713.
APA Song, Kai,&Shi, Jian.(2020).A gamma process based in-play prediction model for National Basketball Association games.EUROPEAN JOURNAL OF OPERATIONAL RESEARCH,283(2),706-713.
MLA Song, Kai,et al."A gamma process based in-play prediction model for National Basketball Association games".EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 283.2(2020):706-713.
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