CSpace
A discrete-time and finite-state Markov chain based in-play prediction model for NBA basketball matches
Shi, Jian1,2; Song, Kai1,2
2021-11-02
发表期刊COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
ISSN0361-0918
卷号50期号:11页码:3768-3776
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.
关键词Betting In-play predictions Markov chain Positive returns Uncertainty analysis
DOI10.1080/03610918.2019.1633351
收录类别SCI
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000715739100019
出版者TAYLOR & FRANCIS INC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/59528
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.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, 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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Shi, Jian]的文章
[Song, Kai]的文章
百度学术
百度学术中相似的文章
[Shi, Jian]的文章
[Song, Kai]的文章
必应学术
必应学术中相似的文章
[Shi, Jian]的文章
[Song, Kai]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。