Sequential sparse Bayesian learning with applications to system identification for damage assessment and recursive reconstruction of image sequences

DOI10.1016/j.cma.2020.113545zbMath1506.62265OpenAlexW3103010819MaRDI QIDQ2020862

James L. Beck, Yong Huang, Hui Li, Yulong Ren

Publication date: 26 April 2021

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2020.113545

zbMATH Keywords

uncertainty quantificationhierarchical Bayesian modelrecursive Bayesian estimationBayesian compressive sensingBayesian system identificationsequential sparse Bayesian learning

Mathematics Subject Classification ID

Bayesian inference (62F15) Probabilistic models, generic numerical methods in probability and statistics (65C20) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Sequential estimation (62L12)

Related Items

Variational Bayesian approximation of inverse problems using sparse precision matrices, Bayesian structural identification using Gaussian process discrepancy models

Uses Software

• PDCO
• ABC-SubSim
• Yall1
• FPC_AS

Cites Work

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