1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.NA2020
Optimal Bounds on Nonlinear Partial Differential Equations in Model Certification, Validation, and Experimental Design
M. McKerns, F. J. Alexander, K. S. Hickmann +2
We demonstrate that the recently developed Optimal Uncertainty Quantification (OUQ) theory, combined with recent software enabling fast global solutions of constrained non-convex o…
stat.ML2015★ 1 cited
Quantifying Uncertainty in Stochastic Models with Parametric Variability
Kyle S. Hickmann, James M. Hyman, Sara Y. Del Valle
We present a method to quantify uncertainty in the predictions made by simulations of mathematical models that can be applied to a broad class of stochastic, discrete, and differen…