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For the present analysis, a two-step approach was taken to sample phylogenies, where a posterior sample of phylogenies was gathered using sequence data and then, in the cartographic analysis, trees from this set were randomly proposed and accepted following the Metropolis–Hastings algorithm (Pagel et al., 2004).
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Random samples of orthologs and paralogs (one randomly chosen orthologous gene pair and one pair of paralogs from each cluster of orthologs and paralogs) were generated, the expression profiles were randomly shuffled as proposed by Piasecka et al. (2012), and the procedure was repeated 1,000 times.
In current practice, especially in the very early design stages, functional requirements are often randomly proposed and loosely represented, largely by means of human language.
The proposed dates for appointment were randomly allocated on an individual basis by a computerised procedure developed for the study.
For training (interpolation), testing and verification (extrapolation) of the proposed models, 140 and 34 samples were randomly chosen, respectively.
Patients were randomly selected.
Thirty-two villages were randomly selected and interventions randomly assigned.
Instead, rewards were randomly distributed.
Finally, the refinement bits (all remaining bits) are uncorrelated with neighboring coefficients and are randomly distributed.The authors propose to randomly scramble sign bits and refinement bits.
This action-sampling method where beliefs are randomly instantiated was first proposed as a heuristic in (Thompson [1933]) and is now known as Thompson sampling.
Furthermore, a context-sensitive PBN (CS-PBN) in which the deciding time is randomly selected has been proposed as a general form of PBNs [ 11, 12].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com