Imprecise Probabilistic Model Updating Using A Wasserstein Distance-based Uncertainty Quantification Metric

被引：0
|
作者：
Yang, Lechang [1 ,2 ]
Han, Dongxu [3 ]
Wang, Pidong [1 ]
机构：
[1] School of Mechanical Engineering, University of Science and Technology Beijing, Beijing,100083, China
[2] Department of Advanced Design and Systems Engineering, City University of Hong Kong, Hong Kong,999077, Hong Kong
[3] Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing,100096, China
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2022年 / 58卷 / 24期
关键词：
Engineering Village;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Approximate reasoning - Bayesian methods - Imprecise probabilities - Model updating - Practical engineering problems - Probabilistic models - Proxy model - Uncertainty quantifications - Updating methods - Wasserstein distance
引用
收藏
页码：300 / 311
相关论文
共 50 条
  • [1] Bayesian inversion for imprecise probabilistic models using a novel entropy-based uncertainty quantification metric
    Yang, Lechang
    Bi, Sifeng
    Faes, Matthias G. R.
    Broggi, Matteo
    Beer, Michael
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 162
  • [2] An efficient model updating method based on variational Bayesian inference with Wasserstein distance metric
    Tao, Yanhe
    Guo, Qintao
    Zhou, Jin
    Ma, Jiaqian
    Liu, Xiaofei
    Chen, Ruiqi
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2024, 38 (11) : 5949 - 5959
  • [3] Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization
    Hart, Russell Alan
    Yu, Linlin
    Lou, Yifei
    Chen, Feng
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [4] Updating probabilistic knowledge using imprecise and uncertain evidence
    Lv, Hexin
    Qiu, Ning
    Tang, Yongchuan
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 4, PROCEEDINGS, 2007, : 624 - +
  • [5] Wasserstein Distance-Based Auto-Encoder Tracking
    Xu, Long
    Wei, Ying
    Dong, Chenhe
    Xu, Chuaqiao
    Diao, Zhaofu
    NEURAL PROCESSING LETTERS, 2021, 53 (03) : 2305 - 2329
  • [6] Wasserstein Distance-Based Auto-Encoder Tracking
    Long Xu
    Ying Wei
    Chenhe Dong
    Chuaqiao Xu
    Zhaofu Diao
    Neural Processing Letters, 2021, 53 : 2305 - 2329
  • [7] Wasserstein Distance-Based Deep Leakage from Gradients
    Wang, Zifan
    Peng, Changgen
    He, Xing
    Tan, Weijie
    ENTROPY, 2023, 25 (05)
  • [8] Further Results on Probabilistic Model Validation in Wasserstein Metric
    Halder, Abhishek
    Bhattacharya, Raktim
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 5542 - 5547
  • [9] Wasserstein distance-based probabilistic linguistic TODIM method with application to the evaluation of sustainable rural tourism potential
    Zhang, Shitao
    Wu, Zhangjiao
    Ma, Zhenzhen
    Liu, Xiaodi
    Wu, Jian
    ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA, 2022, 35 (01): : 409 - 437
  • [10] A Probabilistic Transformation of Distance-Based Outliers
    Muhr, David
    Affenzeller, Michael
    Kueng, Josef
    MACHINE LEARNING AND KNOWLEDGE EXTRACTION, 2023, 5 (03): : 782 - 802
12345