4 citations · 6 across the 3 of their papers we have counts for
3 papers
Adaptively Sampling via Regional Variance-Based Sensitivities
Brian W. Bush, Joanne Wendelberger, Rebecca Hanes
Inspired by the well-established variance-based methods for global sensitivity analysis, we develop a local total sensitivity index that decomposes the global total sensitivity con…
Workshop on Quantification, Communication, and Interpretation of Uncertainty in Simulation and Data Science
Ross Whitaker, William Thompson, James Berger +7
Modern science, technology, and politics are all permeated by data that comes from people, measurements, or computational processes. While this data is often incomplete, corrupt, o…
Partitioning a Large Simulation as It Runs
Kary Myers, Earl Lawrence, Michael Fugate +5
As computer simulations continue to grow in size and complexity, they present a particularly challenging class of big data problems. Many application areas are moving toward exasca…