Timeline for Convergence in Mean Square
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 6, 2015 at 1:49 | vote | accept | zsljulius | ||
| Apr 5, 2015 at 12:46 | answer | added | Michael | timeline score: 1 | |
| Apr 5, 2015 at 3:20 | comment | added | Alecos Papadopoulos | One more clarification: you are sending $j$ to infinity. This essentially increases the distance between the conditioning set and $y_t$, do I understand correctly? | |
| Apr 5, 2015 at 2:45 | comment | added | zsljulius | @AlecosPapadopoulos Hey, I am asking wether $E[y_t] = 0$ always. I am pretty sure this is true actually, just not sure how to prove it. | |
| Apr 5, 2015 at 2:23 | comment | added | Alecos Papadopoulos | Are you asking whether $E(y_t)=0$ always and for finite $t$ also, or whether it converges to zero as $t$ goes to infinity? | |
| Apr 4, 2015 at 22:19 | history | asked | zsljulius | CC BY-SA 3.0 |