# Multiple Importance Sampling

In the previous article I described Importance Sampling, a method for reducing the variance of a Monte Carlo estimator. In this article I will discuss a technique called *Multiple Importance Sampling* which allows us to combine samples from multiple different probability distributions that we think match the shape of the integrand, reducing variance without introducing bias.