Full Gibbs Sampling Procedure for Bayesian System Identification Incorporating Sparse Bayesian Learning with Automatic Relevance Determination
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Full Gibbs Sampling Procedure for Bayesian System Identification Incorporating Sparse Bayesian Learning with Automatic Relevance Determination
Authors
Keywords
-
Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2018-03-10
DOI
10.1111/mice.12358
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A novel methodology for modal parameters identification of large smart structures using MUSIC, empirical wavelet transform, and Hilbert transform
- (2017) Juan P. Amezquita-Sanchez et al. ENGINEERING STRUCTURES
- Statistical interpretation of soil property profiles from sparse data using Bayesian compressive sampling
- (2017) Y. Wang et al. GEOTECHNIQUE
- Novel Sparse Bayesian Learning and Its Application to Ground Motion Pattern Recognition
- (2017) He-Qing Mu et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Approximate Bayesian Computation by Subset Simulation using hierarchical state-space models
- (2017) Majid K. Vakilzadeh et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Hierarchical sparse Bayesian learning for structural damage detection: Theory, computation and application
- (2017) Yong Huang et al. STRUCTURAL SAFETY
- Modal Response-Based Visual System Identification and Model Updating Methods for Building Structures
- (2016) Byung Kwan Oh et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Seismic Data-Driven Identification of Linear Models for Building Structures Using Performance and Stabilizing Objectives
- (2016) Jiazeng Shan et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform
- (2016) Carlos A. Perez-Ramirez et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery
- (2016) Yong Huang et al. PROBABILISTIC ENGINEERING MECHANICS
- New method for modal identification of super high-rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms
- (2016) Zhijun Li et al. STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS
- Bayesian system identification of dynamical systems using highly informative training data
- (2015) P.L. Green et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- HIERARCHICAL SPARSE BAYESIAN LEARNING FOR STRUCUTRAL HEALTH MONITORING WITH INCOMPLETE MODAL DATA
- (2015) Yong Huang et al. International Journal for Uncertainty Quantification
- Approximate Bayesian Computation by Subset Simulation
- (2014) Manuel Chiachio et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring
- (2013) Yong Huang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Bayesian system identification based on probability logic
- (2010) James L. Beck Structural Control & Health Monitoring
- Bayesian Learning Using Automatic Relevance Determination Prior with an Application to Earthquake Early Warning
- (2008) Chang Kook Oh et al. JOURNAL OF ENGINEERING MECHANICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search