In our global models, we apply both a stronger plate (than in the regional models) and a high plate-mantle viscosity contrast in order to prevent double-sided subduction and instead enable realistic, single-sided subduction (Crameri et al. 2012b).
To validate our model, we applied both standard and novel methods of analysis, i.e. local sensitivity analysis [ 30], variance decomposition [ 31] and clustering of model parameters based on sensitivity indices [ 32].
For deriving the model we applied a time-scale separation.
For all other modeling we applied unit variance (UV) scaling.
We apply both models to the palaeocommunity of the Upper Laetolil Beds, Tanzania.
We apply both models to the aggregate gene expression data of the heterogeneous cell types in the Xenopus embryo, and then compare the ability of each model to recover the core regulatory circuits.
For model building we applied MODELLER [23,24].
In both evaluations, we applied the SuperPro Designer modeling tool to generate discrete input and output data for each unit operation, from which we derived bulk AI as well as per-unit/per-dose costs.
And there are five mixed-system states to which both models apply (Connecticut, New York, Maryland, Wisconsin, and California).
Therefore, these models are identifiable via a likelihood ratio test unless the independence relationships implied by both models apply simultaneously.
