PASTIS is a new information criterion that uses extreme value statistics to add a library-size penalty, allowing sparse stochastic differential equations to be selected with a controlled false-positive rate.
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Principled model selection for stochastic dynamics
PASTIS is a new information criterion that uses extreme value statistics to add a library-size penalty, allowing sparse stochastic differential equations to be selected with a controlled false-positive rate.