Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data
Fig 7
Computational costs of filter inference and traditional NLME inference I—Evaluation time of log-posterior.
The figure shows the evaluation time of the traditional NLME log-posterior and its gradient, defined in Eq 7, (blue lines) and the filter inference posterior and its gradient, defined in Eq 10, with a Gaussian filter and S = 50, S = 100 and S = 150 simulated individuals (red lines). The left and right panel illustrate the results for the early cancer growth model and the EGF pathway model, respectively.