Importance sampling

Importance sampling: A technique sampling from a convenient distribution and reweighting outcomes to estimate quantities under another distribution. Corrective weights depend on density ratios. Uncovered tails or highly variable weights can make the estimate unstable. This perspective connects the definition with practical behaviour in artificial intelligence systems.