Metropolis-Hastings Algorithm: Why Senior Quants Use MCMC

Stop chasing AI hype and learn the real workhorse of quantitative finance: the Metropolis-Hastings Algorithm. This guide explains why MCMC is essential for sampling from complex, unnormalized distributions and how to implement it in Python without needing impossible integrals. Master detailed balance and ergodicity to build more robust probabilistic systems today.