Alvin Kerber

math and computers and stuff

Textbook notes from Stanford 2019 Fall term


200 Statistical inference Rice

202 Data Mining Hastie easy book

205 Nonparametric stats Wasserman All of Nonparametric statistics

Lai/Xing (finance bok) is the profs own book … questionable

300A Theoretical Stats (PhD) Keener, Theoretical Statistics

310A Probability (PhD) Billingsley Durrett another book

160 Freedman et al, Statistics

191 Applied stats Chaterjee + Hadi, Regression Analysis by Example

Stanford stat 160 = UG standard stats (MIT 18.650 is in between)


Fancy finance:

Gulliver, Economics of Risk and Time


Fancy physics:

Arfbenetal, Mathematical Methods for Physics

Miller, Quantum Mechanics for Scientists and Engineers


Fancy/formal econ (all 1st year econ PhD level):

Findenberg-Troale, Game Theory but Osborne-Rubinstein, A Couse in Game Theory is much shorter!


Bunneau et al, Bitcoin and Cryptocurrency Technologies -> lolz but probably as good as I’ll get

otherwise, just Cormen et al, and instructors assigning their own books (Kochenderfer might be worth looking at as a course)

Ge Wang, Artful Design

Kochenderfer, Decision Making Under Uncertainty