Julia package speeds systemic-risk calculations by up to 300-fold
The Julia package ESRIcascade.jl reproduced established systemic-risk calculations while reducing runtime by as much as 300-fold in synthetic-network benchmarks.
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The Julia package ESRIcascade.jl reproduced established systemic-risk calculations while reducing runtime by as much as 300-fold in synthetic-network benchmarks.
https://claudiob.github.io/usa/
Gustavo pointed us to this project (see also here) by David Dorer to impute data to lower census levels (block/tract) from PUMAs (public use microdata areas, as defined by the U.S....
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