Timeline for Most mathematically rigorous books to learn statistics from?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Jun 21 at 17:47 | history | edited | User1865345 | CC BY-SA 4.0 |
added 38 characters in body
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| Nov 25, 2019 at 17:06 | comment | added | PsychometStats | @Dougal thank you for the comment, I myself learned something new | |
| Nov 25, 2019 at 17:00 | comment | added | Danica | Murphy is a good book, but I don't know that I would call it "the most mathematically rigorous" or being about "mathematical statistics." A much more mathematical ML book would be e.g. Foundations of Machine Learning by Mohri, Rostamizadeh, and Talwalkar. | |
| Nov 25, 2019 at 16:59 | comment | added | stranger | I'm looking at all the standard stuff in a graduate course on mathematical statistics: distributions, inference, regression, multivariate stuff etc. Doesn't need to be in one book. I'm just doing this as a challenge of some sort. I have time. | |
| Nov 25, 2019 at 16:56 | history | made wiki | Post Made Community Wiki by whuber♦ | ||
| Nov 25, 2019 at 16:39 | history | answered | PsychometStats | CC BY-SA 4.0 |