Timeline for Alternative approaches to probability theory
Current License: CC BY-SA 3.0
12 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 7, 2019 at 15:59 | answer | added | DCM | timeline score: 1 | |
| Apr 7, 2019 at 15:33 | comment | added | Richard | For basic stuff nothing beats Wikipedia (English edition) it's all good and clear there, and almost impossible to improve. Many university professors have in fact no books at all, they just prepare all classes using Wikipedia. | |
| May 29, 2011 at 20:37 | vote | accept | Jury Razumau | ||
| May 29, 2011 at 12:45 | answer | added | John Cole | timeline score: 0 | |
| May 23, 2011 at 4:35 | comment | added | Jury Razumau | @Simon: thank you, I'll certainly take a look at Terry Tao's book; even before your advice I was going to read it once, but now I'll do it sooner. | |
| May 23, 2011 at 4:33 | comment | added | Jury Razumau | @Yemon: thank you for all books offered; I just wanna note that I'm not starting learning probability (I hope that I already know something about classical one). I'll take a look at all of them. | |
| May 21, 2011 at 18:45 | comment | added | Yemon Choi | @Simon: as someone who's dabbled in both, I am not sure that starting with free probability is a good way to learn about classical probability. | |
| May 21, 2011 at 11:45 | comment | added | Simon Lyons | It's possible to base a theory of probability on Von Neumann algebras. This construction is known as free probability, and has applications to quantum mechanics. See Terry Tao's book on random matrices. There's a free preprint on his website. | |
| May 21, 2011 at 8:08 | comment | added | Yemon Choi | If you just want to get some probabilistic intuition, then something like Grimmett and Stirzaker might be worth a look. | |
| May 21, 2011 at 8:07 | comment | added | Yemon Choi | Perhaps you could give an example of the kinds of text you are not after - e.g. "this is a good book, but I want something which approaches this part differently" | |
| May 21, 2011 at 8:05 | comment | added | Yemon Choi | Perhaps Whittle's Probability via Expectation? It depends at what level you want to study probability theory - Williams's Probability with Martingales is an excellent book if you want to start thinking about stochastic processes in discrete time, but there is no avoiding a certain amount of work with measures and convergence theorems. | |
| May 21, 2011 at 7:45 | history | asked | Jury Razumau | CC BY-SA 3.0 |