Monte Carlo

Monte Carlo numerically describes the probability distribution of a variable of interest $f(X)$ by randomly generating inputs $X$ and their corresponding value $f(X)$. This is useful when:

• The inputs $X$ are known and well modelled.
• The function $f$ does not map $X$ into a known probability distribution.