1 citations · 3 across the 5 of their papers we have counts for
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Gradient-free Importance Sampling Scheme for Efficient Reliability Estimation
Elsayed Eshra, Konstantinos G. Papakonstantinou
This work presents a novel gradient-free importance sampling-based framework for precisely and efficiently estimating rare event probabilities, often encountered in reliability ana…
A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification in Non-Gaussian Spaces
Elsayed Eshra, Konstantinos G. Papakonstantinou, Hamed Nikbakht
This work introduces a novel framework for precisely and efficiently estimating rare event probabilities in complex, high-dimensional non-Gaussian spaces, building on our foundatio…
Hamiltonian MCMC methods for estimating rare events probabilities in high-dimensional problems
Konstantinos G. Papakonstantinou, Hamed Nikbakht, Elsayed Eshra
Accurate and efficient estimation of rare events probabilities is of significant importance, since often the occurrences of such events have widespread impacts. The focus in this w…