1 – 8 of 8
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2024
-
Mark
Gaussian process learning of nonlinear dynamics
(
- Contribution to journal › Article
- 2023
-
Mark
A probabilistic assessment of surface water-groundwater exchange flux at a PCE contaminated site using groundwater modelling
(
- Contribution to journal › Article
-
Mark
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression
(
- Contribution to journal › Article
- 2022
-
Mark
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis
(
- Contribution to journal › Article
-
Mark
Bayesian operator inference for data-driven reduced-order modeling
(
- Contribution to journal › Article
- 2018
-
Mark
Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress : The 2015 International Aneurysm CFD Challenge
(
- Contribution to journal › Article
-
Mark
Matching experimental and three dimensional numerical models for structural vibration problems with uncertainties
(
- Contribution to journal › Article
- 2016
-
Mark
A spectral expansion-based Fourier split-step method for uncertainty quantification of the propagation factor in a stochastic environment
(
- Contribution to journal › Article