Comparing links between symptoms and estimates from the Kalman filter with those from the vector autoregressive (VAR) model.

We found a significant association between the decay of sad over time derived from our approach and depressive symptoms, both in the dynamics matrix in minutes and hours. This effect was not present when looking at the autoregressive weight of sad derived from a standard VAR model.