“The most important questions of life are, for the most part, really only problems of probability.”
-Laplace
Here are a bunch of resources I’ve encountered as well as notes I’m typing up. I’ve had prior exposure to multivariable calculus, linear algebra, and upper-div probability and statistics. I’m not starting from scratch, so I’m unsure how helpful these would be to someone who was. Your mileage may vary.
I’m very open to suggestions/comments! [my first name][my last name]1@protonmail.com
Notes
- Stanford Stats 200
- UCLA Math 171, stochastic processes.
Links
- Stanford Stats 200. (Perfect for someone with some exposure to university-level statistics)
- Hogg, Probability and Statistical Inference. (undergrad textbook at UCLA. I found it clear and straightforward)
- Rice, Mathematical Statistics and Data Analysis. (I’m not a fan but this book keeps coming up in syllabi. I’ve found some explanations too cursory for my taste.)
- Efron and Hastie Computer Age Statistical Inference. (The first couple chapters do a wonderful job of laying out frequentism/bayesianism. I can tell the authors care at least some about the philosophy of probability. I haven’t used this book much but it looks good.)
- Wasserman All of Statistics. (Looks like a broader introduction to stats than most undergrad textbooks. Probably good though I haven’t used it much.)
- Statquest. (I don’t prefer to learn via video, but this is the 3blue1brown of statistics.)