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Probabilistic Forecasting With the Monte Carlo Method
The Monte Carlo method was created in the originally in 1930s, but it was famously kind of formed for the Manhattan project. It's a way of applying something called the law of large numbers to a small or a relatively small data set and then running randomized simulations. And using that to based off probability from, and that's what we say probabilistic forecasting with the Monte Carlo.