93 citations · 131 across the 2 of their papers we have counts for
3 papers
stat.CO2018
Development of probabilistic dam breach model using Bayesian inference
S. J. Peter, A. Siviglia, J. Nagel +4
Dam breach models are commonly used to predict outflow hydrographs of potentially failing dams and are key ingredients for evaluating flood risk. In this paper a new dam breach mod…
stat.CO2017★ 93 cited
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation
Joseph B. Nagel, Jörg Rieckermann, Bruno Sudret
This paper presents an efficient surrogate modeling strategy for the uncertainty quantification and Bayesian calibration of a hydrological model. In particular, a process-based dyn…
stat.CO2015★ 38 cited
Spectral likelihood expansions for Bayesian inference
Joseph B. Nagel, Bruno Sudret
A spectral approach to Bayesian inference is presented. It pursues the emulation of the posterior probability density. The starting point is a series expansion of the likelihood fu…