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Bayesian Updating of Model Parameters by Iterative Particle Filter with Importance Sampling
Publisher: ASCE
Abstract: Data assimilation with a particle filter (PF) has attracted attention for use in Bayesian updating. However, PFs have a problem known as degeneracy, where weights tend to concentrate into only a few particles after a few ...
Soil Stratification and Spatial Variability Estimated Using Sparse Modeling and Gaussian Random Field Theory
Publisher: ASCE
Abstract: We propose a method for simultaneously estimating the trend and random components of soil properties using the least absolute shrinkage and selection operator (LASSO) for sparse modeling without assuming any basis functions ...
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