In probabilistic flood modeling, uncertainty manifests in frequency of occurrence, or
histograms, for quantities of interest, including the Flood Extent and hazard rating (HR) …

This article introduces an hp hp‐adaptive multi‐element stochastic collocation method,
which additionally allows to re‐use existing model evaluations during either hh‐or pp …

Calibrating simulation models that take large quantities of multi-dimensional data as input is
a hard simulation optimization problem. Existing adaptive sampling strategies offer a …

Stratification has been widely used as a variance reduction technique when estimating a
simulation output, whereby the input variates are generated following a stratified sampling …

Stratified sampling is one of the powerful variance reduction methods for analyzing system
performance, such as reliability, with stochastic simulation. It divides the input space into …

Subsurface storage of CO $ _2 $ is an important means to mitigate climate change, and to
investigate the fate of CO $ _2 $ over several decades in vast reservoirs, numerical …

Post-stratification is a variance reduction technique that groups samples in respective strata
only after collecting the samples randomly. We incorporate this technique within an adaptive …

Quantifying the effect of uncertainties in computationally complex systems where only point
evaluations in the stochastic domain but no regularity conditions are available is limited to …

Quantifying the risk of CO2 leakage along faults is important for building confidence in CO2
storage in faulted reservoirs. Increased understanding has been gained in recent years on …

Modelling uncertainty propagation in flood modelling manifests in frequency of occurrence,
or histograms, for quantities of interest, including the flood extent and hazard rating. Such …