Hi Mario. I really enjoy your video and really like the way you’re taking us with you in this analysis. I have a question though; at 5:00 you seem to imply that the PACF is linked to the identification of the MA order and the ACF to identification of the AR order when I believe that this is the opposite. In that case it's all 1 so it doesn't impact the final model…
Hi Mario. I really enjoy your video and really like the way you’re taking us with you in this analysis. I have a question though; at 5:00 you seem to imply that the PACF is linked to the identification of the MA order and the ACF to identification of the AR order when I believe that this is the opposite. In that case it's all 1 so it doesn't impact the final model…
Muchisimas gracias por la forma en que presentas el concepto. Fue un placer entender con esta explicacion tan clara.
Easy to understand and really useful, thank you Mario.
Hi Mario. I really enjoy your video and really like the way you’re taking us with you in this analysis. I have a question though; at 5:00 you seem to imply that the PACF is linked to the identification of the MA order and the ACF to identification of the AR order when I believe that this is the opposite. In that case it's all 1 so it doesn't impact the final model…
@Mario Castro Can you please reply to this comment? I would like to listen to your views. I do agree with @r12bzh18
Muy buen video pana, muy útil, saludos desde México
I have never heard about concept of taking a derivative in time series analysis. I am confused
when you do Arima, you substract the this time period minus the lag of it.
Hi Mario. I really enjoy your video and really like the way you’re taking us with you in this analysis. I have a question though; at 5:00 you seem to imply that the PACF is linked to the identification of the MA order and the ACF to identification of the AR order when I believe that this is the opposite. In that case it's all 1 so it doesn't impact the final model…