38 citations · 38 across the 2 of their papers we have counts for
2 papers
stat.ML2024
Maximum a Posteriori Estimation for Linear Structural Dynamics Models Using Bayesian Optimization with Rational Polynomial Chaos Expansions
Felix Schneider, Iason Papaioannou, Bruno Sudret +1
Bayesian analysis enables combining prior knowledge with measurement data to learn model parameters. Commonly, one resorts to computing the maximum a posteriori (MAP) estimate, whe…
stat.CO2022★ 38 cited
Stochastic polynomial chaos expansions to emulate stochastic simulators
X. Zhu, B. Sudret
In the context of uncertainty quantification, computational models are required to be repeatedly evaluated. This task is intractable for costly numerical models. Such a problem tur…