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In these examples, we select the communication link distances of the CCRN as d 4 = d 5 = 0.5 and d 6 = 0.7.
The examples we select to illustrate this framework happen to be from social and medical sciences, but the same relationships hold in any single or multi-state situation.
In these examples, we select the arrival rate of SUTX as λ s = 85 packets/s, and the departure rates of PUTX, SUTX, and SUR as (mu _{p},=,mu _{s},=,{mu _{r}^{p}},=,{mu _{r}^{s}},=,100) packets/s.
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While all of our examples are artificial examples, we selected the optical parameters within or close to the aforementioned ranges.
In our examples, we selected the training populations separately for each trait mainly because a different subset of individuals was observed for different traits in the data sets.
As examples, we selected the most statistically significant 20 hypomethylated and 20 hypermethylated CpG sites with an average β-value difference greater than 0.2 and present their dot plots in Additional file 1: Figure S1 and Additional file 2: Figure S2.
As a typical example, we select JPEG2000 compression.
For the first example, we select the case in which (Omega= 0,1)^{2}).
As example we select a fish toxicity dataset (Fathead Minnow Acute Toxicity) [49], published by the US Environmental Protection Agency EPAA).
For the second example, we select the case in which Ω is a regular triangle with the vertices ((0,0)), ((1,0)), and ((1/2,sqrt {3}/2)).
In our example, we selected the bases a-priori for illustrative purposes, but model selection is clearly more problematic in applied analyses.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com