3 papers
stat.CO2020
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…
stat.AP2019
Bayesian calibration and sensitivity analysis of heat transfer models for fire insulation panels
P. -R. Wagner, R. Fahrni, M. Klippel +2
A common approach to assess the performance of fire insulation panels is the component additive method (CAM). The parameters of the CAM are based on the temperature-dependent therm…