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
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Updated
Jan 23, 2026 - Jupyter Notebook