Timeline for Book on Convergence Concepts in Probability without Measure Theory
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 25, 2015 at 7:53 | vote | accept | Landon Carter | ||
| Jan 23, 2015 at 19:51 | comment | added | Alex R. | @LiviuNicolaescu: I was actually thinking that what's presented in chapter 7 is not really measure theory (no sigma-algebras, simple-functions, measures, etc). Just the modes of convergence defined. The truth is I read the book after taking a class on measure theory so the concepts were of course familiar. But again, I would think that this is as good as OP will find if they want to use a book that presents "graduate" level probability with basically no mention of measures. | |
| Jan 23, 2015 at 19:16 | comment | added | Liviu Nicolaescu | I like the book very much. But the convergence of random variables appears only in Chapter 7 and uses measure theory. Only the weakest form of convergence (in distribution) does not require measure theory. | |
| Jan 23, 2015 at 18:39 | history | answered | Alex R. | CC BY-SA 3.0 |