Groups
Category
Importance sampling rewrites an expectation under a hard-to-sample distribution p as an expectation under an easier distribution q, multiplied by a weight w = p/q.
Bootstrap is a resampling method that estimates uncertainty by repeatedly sampling with replacement from the observed data.