Time series model for constant target

I try to predict a score $S$ at the end of a time $Τ$ with measure taken from time $h_1$ to $h_f$ (~10 constant intervals) from different sources (always different but close behavior).

My goal is to try to predict $S$ at time $h_1$, $h_2$, ... , $h_f$.

My measure evolve during $h_1$ to $h_f$ but $S$ stay the same. I don't know if I can consider this dataset as time series because target doesn't change during time and measures are taken from different sources. Apply an ARIMA model could be a good idea ?

• Are the lengths of your time series fixed?
– JB1
Jun 29, 2018 at 11:47
• yes, intervales between two h is constant Jun 29, 2018 at 12:17
• but how long are each of the sequences you want to analyse? or do you want to look at individual time points=
– JB1
Jun 29, 2018 at 12:30
• ah sequence are also constant, each instances have the same number of measures at the same intervals. Jun 29, 2018 at 12:35