On the contrary, there are ample of studies questioning construct validity of the models to original models towards the change in time periods and financial conditions.
Here we add the cumulative distribution for the soft model to the original plot, so that it can be compared to that of the background spectrum.
Comparative results further verify the superiority of the proposed FTZNN model to the original ZNN model for finding time-varying matrix square root.
To verify our results, we also fit the ETAS model to the original dataset with some higher magnitude thresholds, M2.5 and M3.0.
The multiple imputation procedure consisted of four steps: Fit a Weibull survival model to the original censored survival data.
To test this idea, we fit a spiking model to the original multi-electrode data and simulate from this model using fast timescales only.
See the Supporting Information, Note 3 in Text S1 for the correspondence of the lumped model to the original cerebellum model (Supplementary Figure S3) and a detailed explanation of it.
Furthermore, it is of great advantage if we can translate predictions from the reduced model to the original model.
We then used this mapping to backtrack the analytical results of the hybrid model to the original model parameters.
For each exposure variable we calculated the ratio (expressed as percentage) of the OR for the new model to the original model.
