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cs.DC2018
Making root cause analysis feasible for large code bases: a solution approach for a climate model
Daniel J. Milroy, Allison H. Baker, Dorit M. Hammerling +3
For large-scale simulation codes with huge and complex code bases, where bit-for-bit comparisons are too restrictive, finding the source of statistically significant discrepancies…
stat.CO2018
Marginally Parametrized Spatio-Temporal Models and Stepwise Maximum Likelihood Estimation
Matthew Edwards, Stefano Castruccio, Dorit Hammerling
In order to learn the complex features of large spatio-temporal data, models with large parameter sets are often required. However, estimating a large number of parameters is often…