These findings are robust to modifications in the link formation process, different specifications of link formation costs, alternative models of mutations as well as the possibility of interaction among indirectly connected players.
The shape of the curve is robust to modifications of the default parameters even when different smoothing kernels were used.
This analysis shows that the model is robust to modifications of the weights of the reactions within a dynamic range of 100, that reflects most biological situations.
Our results show that the model is robust to modifications of the weights when the coefficient k ranges from 0.1 to 10. See Additional file 2 for more details.
The only parameter found not to be robust to prior modification was the replacement rate, δ, preventing us to obtain reliable estimates for this parameter.
Results are robust to this modification.
However, given that oscillations are often structurally not robust (structural robustness refers to whether the behavior of a system is robust to minor modifications of the form of the underlying equations), it is surprising that the question of robustness has been largely ignored in the context of the RQH.
Our method is motivated by the earlier work using the ordinal measure for detecting image and video copies [6, 7], in which authors show that the ordinal measure is robust to various modifications of original images.
Unlike the timer model, this sizer model is robust to slight modifications of the growth law of individual cells.
It is important to note that p equally influences both p(π i = 0.5) and p(π i = 0.5| y) terms and therefore, the Bayes factor must be relatively robust to prior modifications.
