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11/28/2022
"Stochastic Inverse Problems" and Changes-of-Variables
Over the last decade, a series of applied mathematics papers have explor...
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07/08/2021
Diagonal Nonlinear Transformations Preserve Structure in Covariance and Precision Matrices
For a multivariate normal distribution, the sparsity of the covariance a...
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01/08/2021
Learning non-Gaussian graphical models via Hessian scores and triangular transport
Undirected probabilistic graphical models represent the conditional depe...
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04/13/2020
Embedded model discrepancy: A case study of Zika modeling
Mathematical models of epidemiological systems enable investigation of a...
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10/17/2019
Embedded discrepancy operators in reduced models of interacting species
In many applications of interacting systems, we are only interested in t...
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11/02/2017
