Rare event simulation and rare event probability estimation are importan...
Reliability sensitivity analysis is concerned with measuring the influen...
In this paper, we introduce a new algorithm for rare event estimation ba...
We propose a modification of the improved cross entropy (iCE) method to
...
In inverse problems, the parameters of a model are estimated based on
ob...
Surrogate models are used to alleviate the computational burden in
engin...
Data-informed predictive maintenance planning largely relies on stochast...
In this paper, we propose a sequential directional importance sampling (...
We present a novel sampling-based method for estimating probabilities of...
To date, the analysis of high-dimensional, computationally expensive
eng...
We propose and discuss sensitivity metrics for reliability analysis, whi...
Process-induced defects are the leading cause of discrepancies between
a...
The estimation of the probability of rare events is an important task in...
The estimation of rare event or failure probabilities in high dimensions...
The challenges for non-intrusive methods for Polynomial Chaos modeling l...
The estimation of the probability of rare events is an important task in...
The identification of parameters in mathematical models using noisy
obse...