A visual, hands-on introduction to Monte Carlo methods with clean simulations, intuitive explanations, and from-scratch implementations.
machine-learning markov-chain statistical-inference monte-carlo-simulation bayesian-inference mcmc markov-chain-monte-carlo stochastic-processes probability-theory variance-reduction metropolis-hastings importance-sampling computational-statistics adaptive-metropolis mcmc-sampling state-estimation-filters delayed-rejection-adaptive-metropolis robotics-ai monte-carlo-statistical-methods
-
Updated
Nov 30, 2025 - Jupyter Notebook