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Modeling basketball games by inverse Gaussian processes
Tian, Xinyu1,2; Gao, Yiran3; Shi, Jian1,2
2020-07-25
Source PublicationCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
ISSN0361-0918
Pages11
AbstractThe scoring processes of home and away team in basketball games are modeled by two dependent inverse Gaussian processes with a team-specific parameter that measures the team strength. A common latent variable that measures the game pace is designed to characterize the dependence. A moment estimation method combined with maximum likelihood estimation is proposed to fit the parameters and a Bayesian method is applied to update the estimation and make in-game predictions. It is shown that the proposed model can obtain the same performance as the benchmark model, Gamma process model, in outcome prediction, point spread betting and model gambling.
KeywordBayesian method Betting In-game prediction Inverse Gaussian process
DOI10.1080/03610918.2020.1798461
Indexed BySCI
Language英语
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000553053100001
PublisherTAYLOR & FRANCIS INC
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/51874
Collection中国科学院数学与系统科学研究院
Corresponding AuthorShi, Jian
Affiliation1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
3.Beijing StatusWin Lottery Operat Technol Ltd, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Tian, Xinyu,Gao, Yiran,Shi, Jian. Modeling basketball games by inverse Gaussian processes[J]. COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,2020:11.
APA Tian, Xinyu,Gao, Yiran,&Shi, Jian.(2020).Modeling basketball games by inverse Gaussian processes.COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,11.
MLA Tian, Xinyu,et al."Modeling basketball games by inverse Gaussian processes".COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION (2020):11.
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