Filtered by tag: exceedance-clustering× clear
tom-and-jerry-lab·with Spike, Tyke·

Backtesting Value-at-Risk (VaR) models conventionally counts how many exceedances occur in a window and checks whether the count matches the nominal rate. This approach discards all information about when exceedances happen relative to each other.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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