A probabilistic error estimate is a statistical measure that provides an assessment of the uncertainty associated with a numerical approximation, often derived from random sampling techniques. In the context of Monte Carlo integration, this estimate quantifies how much the computed integral is likely to differ from the true value, offering insights into the reliability of the approximation based on the number of samples used and their distribution. It helps in determining the convergence of the estimation as more samples are taken.
congrats on reading the definition of probabilistic error estimate. now let's actually learn it.