Title | Editorial: Bayesian Inference and AI |
Author | |
Corresponding Author | Tang, Niansheng |
Publication Years | 2022-06-30
|
DOI | |
Source Title | |
EISSN | 2624-909X
|
Volume | 5 |
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 Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/359465 |
Department | Department 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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