3 papers
stat.ME2017
Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design
Paul Diaz, Alireza Doostan, Jerrad Hampton
In the field of uncertainty quantification, sparse polynomial chaos (PC) expansions are commonly used by researchers for a variety of purposes, such as surrogate modeling. Ideas fr…
q-bio.PE2016
A Modified SEIR Model for the Spread of Ebola in Western Africa and Metrics for Resource Allocation
Paul Diaz, Paul Constantine, Kelsey Kalmbach +2
A modified, deterministic SEIR model is developed for the 2014 Ebola epidemic occurring in the West African nations of Guinea, Liberia, and Sierra Leone. The model describes the dy…
math.NA2015
Global sensitivity metrics from active subspaces
Paul G. Constantine, Paul Diaz
Predictions from science and engineering models depend on several input parameters. Global sensitivity analysis quantifies the importance of each input parameter, which can lead to…