CSpace
A gamma process based in-play prediction model for National Basketball Association games
Song, Kai1,2; Shi, Jian1,2
2020-06-01
Source PublicationEUROPEAN JOURNAL OF OPERATIONAL RESEARCH
ISSN0377-2217
Volume283Issue:2Pages:706-713
AbstractThis 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.
KeywordOR in sports Gamma process in-play prediction Bayesian method Betting
DOI10.1016/j.ejor.2019.11.012
Indexed BySCI
Language英语
WOS Research AreaBusiness & Economics ; Operations Research & Management Science
WOS SubjectManagement ; Operations Research & Management Science
WOS IDWOS:000515445500021
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/50893
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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Song, Kai]'s Articles
[Shi, Jian]'s Articles
Baidu academic
Similar articles in Baidu academic
[Song, Kai]'s Articles
[Shi, Jian]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Song, Kai]'s Articles
[Shi, Jian]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.