Enhanced adaptive sequential Monte Carlo method for Bayesian model class selection by quantifying data fit and information gain-Reference-Cited by-同舟云学术

Enhanced adaptive sequential Monte Carlo method for Bayesian model class selection by quantifying data fit and information gain

Published:2024-01 Issue: Volume:206 Page:110792
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Yang Jia-Hua^ORCID,Liu Wen-Yue,An Yong-Hui,Lam Heung-Fai^ORCID

Funder

National Natural Science Foundation of China

Research Grants Council, University Grants Committee

National Key Research and Development Program of China

Specific Research Project of Guangxi for Research Bases and Talents

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference56 articles.

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