2 ms·
These are great. Thanks for sharing. Do you happen to have any on probability or statistics and or both?
by bob_theslob646 4y ago
These are great. Thanks for sharing.
Do you happen to have any on probability or statistics and or both?
- nextos 4y agoHubbard & Hubbard, which I referred to in my previous comment, discusses the basics of probability up to the Central Limit Theorem and a bit of Monte Carlo methods. Probability and statistics are really broad. What areas are you interested in? If you are trying to do inference on large datasets, I think Andrew Gelman's books are superb and will teach you invaluable skills using multi-level Stan models, i.e. generative models and Bayesian inference. If you want to study basic probability theory and stochastic processes, I really like Elementary Probability Theory by Chung. His more advanced book is really famous, but has a measure-theoretic approach and that's not very practical unless you are interested in developing theories a bit further. Taleb is really fond of Probability, Random Variables and Stochastic Processes by Papoulis. But I find the typesetting in later editions to be really disorganized and confusing. Take a look. It's a good alternative to the first Chung book.
- oogway8020 4y agoThere is a large number of html format books on bookdown.org, mostly related to Data Science and R, lots of Bayesian too. There are some more theoretical math books there, one of which I found to be very well written: Theory of Distributions by Peter K. Dunn