Sampling & Monte Carlo

The mathematics of uncertainty

An expectation can be trivial to write down and brutal to compute exactly. If X has a complicated distribution, an integral like ∫ x·p(x) dx may have no closed form at all. Monte Carlo estimation sidesteps the integral with something much simpler: draw random samples, evaluate whatever you care about on each one, and average the results.

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