From the Various Consequences Blog, I found that the National Academy Press is about to release a report on the Mathematical Foundations of Validation, Verification and Uncertainty Quantification. The pre-publication version is available on the National Academies Press site.
While reading the pre-publication version, I noted that the study did not seem to make reference to the (too !) recent connection between Compressive Sensing and Uncertainty Quantification as pointed out by Alireza Doostan.. If you recall, his most recent presentations on the subject include:
- Stochastic PDEs, Sparse Approximations, and Compressive Sampling
- A Compressive Sampling Approach to Sparse Polynomial Chaos Expansions
Alireza applies this technique to speed up the finding of the largest coefficients of a polynomial chaos expansion.