1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
Merging Virtual and Real Environments for Visualizing Seismic Hazards and Risk
Hamed Nikbakht
Earthquake research in the last few decades has led to considerable advances in seismic hazard and risk modeling across academia, industry, and government. Technological advances s…
A direct Hamiltonian MCMC approach for reliability estimation
Hamed Nikbakht, Konstantinos G. Papakonstantinou
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…