Monte Carlo simulation is a computational technique used to model and analyze complex systems or processes through repeated random sampling. It involves generating multiple simulated scenarios or iterations of a system by sampling from probability distributions of input variables, performing computations or simulations based on these samples, and aggregating the results to estimate outcomes or assess risks. Monte Carlo simulation allows analysts to account for uncertainty, variability, and randomness in decision-making, simulate alternative scenarios, and quantify the likelihood of different outcomes under various conditions.

Simulating the future? Monte Carlo Simulations

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