Monte Carlo Simulation

A computational stochastic sampling technique that estimates properties (expectations, probabilities, distributions) of a model by repeatedly drawing random (or quasi‑random) samples from specified probability distributions and computing empirical statistics; uncertainty is quantified by sampling variability and estimator error.