Table 2. ARMA and ARFIMA model fits.
Subject | Paradigm | Best Model Fit (BIC) | Estimated d value |
A | Task 1 | ARFIMA(0,d,0) | 0.2 |
B | Task 1 | ARFIMA(0,d,0) | 0.24 |
Task 2 (1000) | ARMA(2,0) | − | |
C | Task 1 | ARFIMA(0,d,0) | 0.24 |
Task 2 (500) | ARFIMA(0,d,0) | 0.23 | |
D | Task 1 | ARFIMA(1,d,1) | 0.32 |
Task 2 (500) | ARMA(2,3) | − | |
Task 2 (1000) | ARFIMA(2,d,1) | 0.24 | |
E | Task 2 (1000) | ARMA(2,1) | − |
F | Task 2 (1000) | ARFIMA(1,d,1) | 0.24 |
G | Task 1 | ARFIMA(0,d,0) | 0.25 |
Task 2 (500) | ARFIMA(0,d,0) | 0.13 | |
Task 2 (1000) | ARFIMA(0,d,0) | 0.21 | |
H | Task 2 (500) | ARMA(1,0) | − |
I | Task 2 (500) | ARFIMA(1,d,1) | 0.08 |
J | Task 1 | ARMA(0,0) | − |
Average | 0.22±0.06 |