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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.

*** Update: I decided to compile all my notes that are not long enough to standalone in this Overleaf document so that I don’t have to keep updating Github.