Probability & Statistics · Statistics
Monte Carlo Simulation
Answering hard probability questions by simulating them: the Manhattan Project origin, estimating π, error shrinking as 1/√n, retirement and option-pricing simulations, and Python code you can run.
Step 1 of 4 · Overview30 min read ·
Key idea
Prereqs: Sampling & CLT. Next: Optimization for ML. Sources: Metropolis & Ulam, 'The Monte Carlo Method' (1949); Glasserman, *Monte Carlo Methods in Financial Engineering* (2003); MIT OCW.Next: 1. The idea