Time-Slicing Variable Selection splits two time series into subintervals, selects distinguishing variables on each subinterval with a two-sample method, and returns a permutation-test p-value per subinterval.
Sensitivity analysis when model outputs are functions.Reliability Engineering & System Safety, 91(10-11):1468–1472, 2006
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Variable Selection for Comparing High-dimensional Time-Series Data
Time-Slicing Variable Selection splits two time series into subintervals, selects distinguishing variables on each subinterval with a two-sample method, and returns a permutation-test p-value per subinterval.