32 citations · 70 across the 4 of their papers we have counts for
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stat.CO2020★ 19 cited
Bayesian model inversion using stochastic spectral embedding
P. -R. Wagner, S. Marelli, B. Sudret
In this paper we propose a new sampling-free approach to solve Bayesian model inversion problems that is an extension of the previously proposed spectral likelihood expansions (SLE…
stat.CO2020
Stochastic spectral embedding
S. Marelli, P. -R. Wagner, C. Lataniotis +1
Constructing approximations that can accurately mimic the behavior of complex models at reduced computational costs is an important aspect of uncertainty quantification. Despite th…