Importance Sampling
Overview1
Importance sampling is one of the Monte Carlo methods, a sampling trick that can be used when approximating an integral (expectation) with a finite sum.
Christoper M. Bishop, Pattern Recognition annd Machine Learning (2006), p532-534 ↩︎