Importance Sampling: Difference between revisions

Created page with "== Introduction == Importance sampling is a statistical technique used to estimate properties of a particular distribution while only having samples generated from a different distribution. This method is widely used in various fields such as computational statistics, machine learning, and Monte Carlo simulations. The primary goal of importance sampling is to reduce the variance of an estimator, thereby increasing the efficiency and accuracy of the estimation process...."