95 citations · 156 across the 13 of their papers we have counts for
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math.NA2023★ 1 cited
An Approximation Theory Framework for Measure-Transport Sampling Algorithms
Ricardo Baptista, Bamdad Hosseini, Nikola B. Kovachki +2
This article presents a general approximation-theoretic framework to analyze measure transport algorithms for probabilistic modeling. A primary motivating application for such algo…
math.NA2021
Spectral convergence of probability densities for forward problems in uncertainty quantification
Amir Sagiv
The estimation of probability density functions (PDF) using approximate maps is a fundamental building block in computational probability. We consider forward problems in uncertain…
math.NA2018★ 1 cited
Density Estimation in Uncertainty Propagation Problems Using a Surrogate Model
Adi Ditkowski, Gadi Fibich, Amir Sagiv
The effect of uncertainties and noise on a quantity of interest (model output) is often better described by its probability density function (PDF) than by its moments. Although den…