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12/03/2021
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion
In the context of Bayesian inversion for scientific and engineering mode...
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06/16/2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
Gaussian process regression is a popular Bayesian framework for surrogat...
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06/16/2018
Sensitivity-driven adaptive construction of reduced-space surrogates
We develop a systematic approach for surrogate model construction in red...
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01/06/2018
Compressive sensing adaptation for polynomial chaos expansions
Basis adaptation in Homogeneous Chaos spaces rely on a suitable rotation...
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07/28/2017