Sentence examples for trivial timing from inspiring English sources

The fact that both datasets feature time windows with trivial timing signatures thus simply suggests that it would be ill-advised to use the respective datasets in these periods to study (causal) relations between the timing of events.

In fact, there is a half-year stretch in early 2006 for the full IBC dataset that features only a trivial timing signature.

In fact, IBC was found to have only trivial timing signatures, i.e., signatures indistinguishable from an iid random process, for much of the time period analyzed.

We here chose to rely on the distribution of inter-event times because it also tends to be more sensitive to differences in the distribution of sparse data for which it is generally more difficult to detect deviations from a trivial timing signature.

This is true for large parts of the IBC data - especially for larger thresholds - whereas SIGACT generally features more and longer time windows with non-trivial timing signatures (Figure 8).

We test whether the inter-event timing distributions of 'IBC Baghdad' (left) and 'SIGACT Baghdad' (right) in the time window October 15, 2006 to February 15 , 2007exhibit non-trivial timing signatures for different timestamp uncertainty Δ.

In the low intensity conflict phases prior to 2006 and after mid-2008, howeven, even SIGACT generally does not feature non-trivial timing dynamics.

Here IBC clearly does not feature robust non-trivial timing signature since already at the minimal uncertainty of one day F is close to 1.

In comparison SIGACT codes much more non-trivial timing dynamics and is thus generally more suitable for the analysis of event timing.

Our analysis, however, also confirmed that where non-trivial timing signatures for the full datasets exist these signatures are quite robust against uncertainties in timestamps of events.

Our analysis thus suggests that - where they exist - the non-trivial timing signatures for the full IBC and SIGACT data are indeed quite robust against uncertainty of timestamps.