14 citations · 30 across the 12 of their papers we have counts for
5 papers · 1 filter
Inference of Experimental Radial Impurity Transport on Alcator C-Mod: Bayesian Parameter Estimation and Model Selection
F. Sciortino, N. T. Howard, E. S. Marmar +11
We present a fully Bayesian approach for the inference of radial profiles of impurity transport coefficients and compare its results to neoclassical, gyrofluid and gyrokinetic mode…
Cross-entropy-based importance sampling with failure-informed dimension reduction for rare event simulation
Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk +1
The estimation of rare event or failure probabilities in high dimensions is of interest in many areas of science and technology. We consider problems where the rare event is expres…
Low-rank multi-parametric covariance identification
Antoni Musolas, Estelle Massart, Julien M. Hendrickx +2
We propose a differential geometric construction for families of low-rank covariance matrices, via interpolation on low-rank matrix manifolds. In contrast with standard parametric…
Data-Driven Forward Discretizations for Bayesian Inversion
Daniele Bigoni, Yuming Chen, Nicolas Garcia Trillos +2
This paper suggests a framework for the learning of discretizations of expensive forward models in Bayesian inverse problems. The main idea is to incorporate the parameters governi…
Geodesically parameterized covariance estimation
Antoni Musolas, Steven T. Smith, Youssef Marzouk
Statistical modeling of spatiotemporal phenomena often requires selecting a covariance matrix from a covariance class. Yet standard parametric covariance families can be insufficie…