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stat.CO2025★ 1 cited
Bayesian model updating via streamlined Bayesian active learning cubature
Pei-Pei Li, Chao Dang, Cristóbal H. Acevedo +2
This paper proposes a novel Bayesian active learning method for Bayesian model updating, which is termed as "Streamlined Bayesian Active Learning Cubature" (SBALC). The core idea i…
math.DS2025
Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space
Zhouzhou Song, Weiyun Xu, Marcos A. Valdebenito +1
Surrogate models are extensively employed for forward and inverse uncertainty quantification in complex, computation-intensive engineering problems. Nonetheless, constructing high-…