ARIMA parameter configuration p, q, d
hi,
I am fairly new to data science and exploring time-series. I'm currently trying the ARIMA model but notice there is a big difference in the outcome of the model by configuring the p, q and d parameters. Is there anyone who can explain in simple words what each parameter means and how I can come up with the best configuration? Or should I use the default and use a parameter optimization?
I hope someone can share his/her experience.
Thanks,
Bart
I am fairly new to data science and exploring time-series. I'm currently trying the ARIMA model but notice there is a big difference in the outcome of the model by configuring the p, q and d parameters. Is there anyone who can explain in simple words what each parameter means and how I can come up with the best configuration? Or should I use the default and use a parameter optimization?
I hope someone can share his/her experience.
Thanks,
Bart