144 citations · 229 across the 5 of their papers we have counts for
5 papers
Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment
Yong Huang, James L. Beck, Hui Li
The focus in this paper is Bayesian system identification based on noisy incomplete modal data where we can impose spatially-sparse stiffness changes when updating a structural mod…
Hierarchical Stochastic Model in Bayesian Inference: Theoretical Implications and Efficient Approximation
Stephen Wu, Panagiotis Angelikopoulos, James L. Beck +1
We classify two types of Hierarchical Bayesian Model found in the literature as Hierarchical Prior Model (HPM) and Hierarchical Stochastic Model (HSM). Then, we focus on studying t…
Using Approximate Bayesian Computation by Subset Simulation for Efficient Posterior Assessment of Dynamic State-Space Model Classes
Majid K. Vakilzadeh, James L. Beck, Thomas Abrahamsson
Approximate Bayesian Computation (ABC) methods have gained in their popularity over the last decade because they expand the horizon of Bayesian parameter inference methods to the r…
Hierarchical sparse Bayesian learning for structural health monitoring with incomplete modal data
Yong Huang, James L. Beck
For civil structures, structural damage due to severe loading events such as earthquakes, or due to long-term environmental degradation, usually occurs in localized areas of a stru…
Approximate Bayesian Computation by Subset Simulation
Manuel Chiachio, James L. Beck, Juan Chiachio +1
A new Approximate Bayesian Computation (ABC) algorithm for Bayesian updating of model parameters is proposed in this paper, which combines the ABC principles with the technique of…