Timeline for Stationary distribution of Markov chain
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 2, 2014 at 21:21 | vote | accept | dff | ||
| Sep 2, 2014 at 17:22 | comment | added | charles.y.zheng | Recurrent is the condition $\sum P^n(x,A) = \infty$, Harris recurrent is the condition $P_x(X_n \in A i.o) = 1$ for all x. | |
| Sep 1, 2014 at 8:44 | comment | added | dff | I'm confused. Then what is the difference between being positive recurrent and being postive Harris recurrent? | |
| Aug 29, 2014 at 15:58 | answer | added | charles.y.zheng | timeline score: 1 | |
| Aug 29, 2014 at 15:41 | comment | added | charles.y.zheng | A finite invariant measure yields a stationary distribution when normalized to have total measure 1. | |
| Aug 26, 2014 at 11:08 | history | asked | dff | CC BY-SA 3.0 |