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math.PR2012★ 14 cited
Optimal uncertainty quantification for legacy data observations of Lipschitz functions
T. J. Sullivan, M. McKerns, D. Meyer +3
We consider the problem of providing optimal uncertainty quantification (UQ) --- and hence rigorous certification --- for partially-observed functions. We present a UQ framework wi…
math.PR2010★ 132 cited
Optimal Uncertainty Quantification
Houman Owhadi, Clint Scovel, Timothy John Sullivan +2
We propose a rigorous framework for Uncertainty Quantification (UQ) in which the UQ objectives and the assumptions/information set are brought to the forefront. This framework, whi…