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Notes

I’ll post my notes that I find worthy of typesetting neatly here.

• Here’s the basics of Markov Chain, Monte Carlo, and Markov Chain Monte Carlo. We covered Markov chain mixing, psuedorandomness, and two MCMC algorithms (Metropolis-Hastings and Glauber dynamics).
• There was a version of non-measure-theoretic stochastic processes in preparation, but there are just so much more to learn. To put something up for the sake of uploading, here’s a (very) incomplete version up.