Publications
Advanced Quasi-Monte Carlo Algorithms for High-dimensional Integration and Approximation KU Leuven
Quasi-Monte Carlo Techniques for the Approximation of High-Dimensional Integrals (Quasi-Monte Carlo technieken voor het benaderen van integralen over hoog-dimensionale gebieden) KU Leuven
Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown Ghent University
Uncertainty Quantification for Thermodynamic Simulations with High-Dimensional Input Spaces Using Sparse Polynomial Chaos Expansion: Retrofit of a Large Thermal Power Plant Vrije Universiteit Brussel
The assessment of the future thermodynamics performance of a retrofitted heat and power production unit is prone to many uncertainties due to the large number of parameters involved in the modeling of all its components. To carry out uncertainty quantification analysis, alternatives to the traditional Monte Carlo method must be used due to the large stochastic dimension of the problem. In this paper, sparse polynomial chaos expansion (SPCE) ...
Exploring the Lyapunov instability properties of high-dimensional atmospheric and climate models Vrije Universiteit Brussel
The stability properties of intermediate-order climate models are investigated by computing their Lyapunov exponents (LEs). The two models considered are PUMA (Portable University Model of the Atmosphere), a primitive-equation simple general circulation model, and MAOOAM (Modular Arbitrary-Order Ocean-Atmosphere Model), a quasi-geostrophic coupled ocean-atmosphere model on a β-plane. We wish to investigate the effect of the different levels ...