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A Bayesian Partially Observable Online Change Detection Approach with Thompson Sampling

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Year: 2022
Type: article
Source: Technometrics
DOI: 10.1080/00401706.2022.2127914
Authors: Jie Guo, Hao Yan, Chen Zhang
Institutions: Tsinghua University, Arizona State University
Language: English

Topic: Advanced Statistical Process Monitoring
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences

Open Access status: closed

Funders: National Science Foundation, National Natural Science Foundation of China, Bulgarian National Science Fund, Division of Civil, Mechanical and Manufacturing Innovation
Awards: 基于复杂轮廓数据的统计建模和在线监控研究, 工业大数据环境下面向智能制造系统的质量科学管控方法研究, G7787109876
OpenAlex ID: W4297017196
FWCI: 2.568
Cites: 46
Cited by: 22
Related to: 10
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