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bootstrapping
bootstrapping Bootstrapping is a non-parametric way to estimate uncertainty by creating many resampled versions of available data and using them to produce multiple possible outcome paths or scenarios.
Bootstrapping is a non-parametric way to estimate uncertainty by creating many resampled versions of available data and using them to produce multiple possible outcome paths or scenarios. In this use, it helps model variation without relying on strong assumptions about the underlying distribution.