Probabilistic Models, Sampling Methods, Machine Learning, Editors Pick, Hands On Tutorials.
of S (i.e. by taking more samples), our estimator’s variance will decrease at a rate proportional to 1/R. A proof of these two properties, common to all Monte Carlo estimators, seen here: LEFT: proof that the Monte Carlo estimator is unbiased. RIGHT: proof that the Monte Carlo estimator’s variance