Dominique Poirel
According to our database1,
Dominique Poirel
authored at least 9 papers
between 2016 and 2023.
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Bibliography
2023
A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters.
CoRR, 2023
Sparse Bayesian neural networks for regression: Tackling overfitting and computational challenges in uncertainty quantification.
CoRR, 2023
Exploring hierarchical framework of nonlinear sparse Bayesian learning algorithm through numerical investigations.
CoRR, 2023
2022
Probabilistic Prediction of Coalescence Flutter Using Measurements: Application to the Flutter Margin Method.
CoRR, 2022
Encoding nonlinear and unsteady aerodynamics of limit cycle oscillations using nonlinear sparse Bayesian learning.
CoRR, 2022
Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time-varying and time-invariant parameters.
CoRR, 2022
Domain Decomposition of Stochastic PDEs: Development of Probabilistic Wirebasket-based Two-level Preconditioners.
CoRR, 2022
2021
2016
Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations.
J. Comput. Phys., 2016