Theoretical Statistics – All Lectures (2018) [pdf]
stat.berkeley.edu
stat.berkeley.edu
Starts with a typo for expression (1); calls it (5) where it is only on page 5.
Starts with a classification problem and seems to get some interesting and likely useful mathematical (probabilistic, statistical) results for what I've seen elsewhere only with heuristics.
Does prove the Lindeberg-Feller version of the central limit theorem.
I would have guessed that there would be some material on exchangability and/or resampling but didn't see anything.
Looks at the Breiman LASSO technique in regression.
He seems to do a lot with one of my favorite authors and papers:
Talagrand, M. (1996). A new look at independence. Annals of Probability 24, 1-34.
Testing Statistical Hypotheses (Cl) by Lehmann
Theory Of Point Estimation by Lehmann
Theoretical Statistics by Keener
Weak Convergence and Empirical Processes by Vaart and Wellner
Additionally, this assigned book list from a past section: https://people.eecs.berkeley.edu/~jordan/courses/210B-spring...
https://github.com/melling/MathAndScienceNotes/tree/master/s...
Harvard 110 is a good beginner course. Someone did the lecture notes too:
http://www.mxawng.com/stuff/notes/stat110.pdf
And a 10 page cheatsheet: