Python, Monte Carlo, Monte Carlo Simulation, Importance Sampling, Machine Learning.
we’ll get something that bounces around less (less variance) than if we sampled the previous way. That’s the whole idea the variance is reduced and with a single estimate, we expect to be less wrong. How to choose the new distribution q(x) in Importance Sampling? How are we supposed to choose q(x)