2 citations · 2 across the 5 of their papers we have counts for
5 papers
Variational Parameter Calibration with Physics-Aware Latent-Space Surrogates
Qiyao Zhou, Xujia Zhu, Pierre Joli +2
Forward and inverse modeling of parametric dynamical systems requires surrogate models that are not only accurate for state prediction, but also informative for parameter calibrati…
Uncertainty functionals revisited: Concavity and Jensen's inequality
Julien Bect, Xujia Zhu
This article presents a theoretical study of uncertainty functionals on general measurable spaces. These functionals are fundamental in experimental design and global sensitivity a…
MF-GLaM: A multifidelity stochastic emulator using generalized lambda models
K. Giannoukou, X. Zhu, S. Marelli +1
Stochastic simulators exhibit intrinsic stochasticity due to unobservable, uncontrollable, or unmodeled input variables, resulting in random outputs even at fixed input conditions.…
Maximum Likelihood for Logistic Regression Model with Incomplete and Hybrid-Type Covariates
Mohamed Cherifi, Xujia Zhu, Mohammed Nabil El Korso +1
Logistic regression is a fundamental and widely used statistical method for modeling binary outcomes based on covariates. However, the presence of missing data, particularly in set…
Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions
X. Zhu, B. Sudret
Due to limited computational power, performing uncertainty quantification analyses with complex computational models can be a challenging task. This is exacerbated in the context o…