中文版 | English
Title

Editorial: Bayesian Inference and AI

Author
Corresponding AuthorTang, Niansheng
Publication Years
2022-06-30
DOI
Source Title
EISSN
2624-909X
Volume5
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
WOS Research Area
Computer Science ; Science & Technology - Other Topics
WOS Subject
Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS Accession No
WOS:000827868500001
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/359465
DepartmentDepartment of Statistics and Data Science
Affiliation
1.Yunnan Univ, Dept Stat, Kunming, Peoples R China
2.Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China
3.Southern Univ Sci & Technol, Dept Stat & Data Sci, Shenzhen, Peoples R China
4.Univ S Florida, Dept Epidemiol & Biostat, Tampa, FL USA
Recommended Citation
GB/T 7714
Tang, Niansheng,Liu, Catherine,Shi, Jian Qing,et al. Editorial: Bayesian Inference and AI[J]. FRONTIERS IN BIG DATA,2022,5.
APA
Tang, Niansheng,Liu, Catherine,Shi, Jian Qing,&Huang, Yangxin.(2022).Editorial: Bayesian Inference and AI.FRONTIERS IN BIG DATA,5.
MLA
Tang, Niansheng,et al."Editorial: Bayesian Inference and AI".FRONTIERS IN BIG DATA 5(2022).
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