# Imprecise Subset Simulation

@inproceedings{Giovanis2021ImpreciseSS, title={Imprecise Subset Simulation}, author={Dimitris G. Giovanis and Michael D. Shields}, year={2021} }

The objective of this work is to quantify the uncertainty in probability of failure estimates resulting from incomplete knowledge of the probability distributions for the input random variables. We propose a framework that couples the widely used Subset simulation (SuS) with Bayesian/information theoretic multi-model inference. The process starts with data used to infer probability distributions for the model inputs. Often such data sets are small. Multi-model inference is used to assess…

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