Thank you very much for this lecture. It’s really useful. I have a question about the data used for ACF and PACF - is it the detrended time series after different differencing or is it the original data ? Many thanks
Thank you very much! I have spent a long time trying to figure out how to find P,D, and Q, and you explained it very well in a short amount of time. If the series requires either one lagged differencing or seasonal differencing, do you look at ACF and PACF after carrying out those differencing?
Hello! Have you reached a conclusion now? I'm very confused about this because the original plot produces two additional sets of ACF/PACF plots after seasonal and non-seasonal differencing, and I don't know which set of plots(original /lag12/lag12+1d) to focus on when deciding on each parameter.
Your explanations are always very clear, thank you.
Thank you very much for this lecture. It’s really useful. I have a question about the data used for ACF and PACF - is it the detrended time series after different differencing or is it the original data ? Many thanks
Thank you very much, your explanations are always top notch.
best. all your videos are top notch.
Thank you very much! I have spent a long time trying to figure out how to find P,D, and Q, and you explained it very well in a short amount of time. If the series requires either one lagged differencing or seasonal differencing, do you look at ACF and PACF after carrying out those differencing?
Hello! Have you reached a conclusion now? I'm very confused about this because the original plot produces two additional sets of ACF/PACF plots after seasonal and non-seasonal differencing, and I don't know which set of plots(original /lag12/lag12+1d) to focus on when deciding on each parameter.
Thank you so much! Very clear explanation
Thank you so much very helpful
Thank you so much! This was extremely helpful!
Tysm! I am much clearer now!
Thank you!
Thank you!
nice video!