1 citations · 1 across the 3 of their papers we have counts for
3 papers
Constructing Level Sets Using Smoothed Approximate Bayesian Computation
David Edwards, Julie Bessac, Franck Cappello +1
This paper presents a novel approach to level set estimation for any function/simulation with an arbitrary number of continuous inputs and arbitrary numbers of continuous responses…
Modeling spatial asymmetries in teleconnected extreme temperatures
Mitchell L. Krock, Julie Bessac, Michael L. Stein
Combining strengths from deep learning and extreme value theory can help describe complex relationships between variables where extreme events have significant impacts (e.g., envir…
Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data
Robert Underwood, Julie Bessac, David Krasowska +3
Lossy compressors are increasingly adopted in scientific research, tackling volumes of data from experiments or parallel numerical simulations and facilitating data storage and mov…