Notes
“Magic is really very simple, all you’ve got to do is want something and then let yourself have it.”
– Aggie Cromwell from Halloweentown
Below are some notes that I typesetted for less formal presentations, e.g., in class or research group
meetings.
Caution: there are certainly mistakes (typographical or otherwise). Feel free to contact me if you’d like to see them corrected :)
Graduate
Undergrad
- 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.