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However, we prove that the spatio-temporal correlation function is robust to temporal aggregations schemes when the covariance of traffic in different locations is separable in space and time.
In each case the function was observed (see File S6), demonstrating the function is robust to intrinsic noise.
Moreover, the predictive ability of the derived probability function is robust across a range of epidemiological scenarios, with an AUC between 96-97% for all simulations.
While only the balanced case is considered in the current study, this fitness function is robust to class imbalance for future studies or real data analysis.
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On the other hand, the PGMs that take into account the underlying function are robust and powerful.
We found that models (ii) and (iii) produced a significant improvement in fit at the 95% level over model (i), but that the shape of the age-dependent susceptibility function was robust to the choice of model.
For the overall intended slope values (0.0 2.0) across the six vector lengths, this interaction of some increasing and some non-increasing functions is robust (t(100) = 10.81, p < 0.0001, d = 2.16).
We found that all three functions were robust to at least some forms of asymmetry (see File S5), and we therefore conclude that the network's functions do not depend on the use of a completely symmetrical parameter set.
While stage-specific Catalan survival functions are robust, when stratifying by age and stage the number of women at risk over time decreases and the survival estimates are unstable (see Additional file 1).
The association between higher job demand and lower mental functioning was robust; adjustment for selected childhood factors and potential adult confounders had very little influence on the strength of this association.
Also, in the case where the system undergoes CFO, we consider a sum-correlation function which is robust to CFO.
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