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stat.ME2025
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…
stat.ME2025
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…