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The underlying reason is the following: when the interaction network is large, the likelihood that an initial supercluster of cooperators emerges is low, since it requires a large set of contiguous players with a cooperative strategy the likelihood of which decreases as the interaction network increases, since a cluster of 8 surrounding cooperators is far less likely than one of 4.
Because the molecular alignment is large, the likelihood was calculated approximately to save computing time [ 54, 83].
When the number of sampled time points is sufficiently large, the likelihood ratio statistic (LRS) follows a χ distribution.
When the number of comparisons is large, the likelihood of false positive results is greater: for the 1000 comparisons in this study, around 50 are expected falsely to show a significant increase or decrease in level.
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The value below each image is the likelihood of the matching, the smaller the matching error, the larger the likelihood.
The deeper one goes into a story, the larger the likelihood that something interesting will appear.
The rates for type I errors and type II errors are inversely related: the smaller the probability of one, the larger the likelihood of the other.
The larger the likelihood of the model, the larger is the probability of the dependent variable values to occur in the sample and the better is the fit of the model to the data.
Strictly, it is slightly more complicated than that, in that the PPV and the incidence have to be expressed as odds for the calculations, and then converted back to percentages, but the essential point is that the larger the likelihood ratio, the higher the positive predictive value.
If 3 is greater than 1 (the "negative ratio") by a large margin, the likelihood that they're a spammer or marketer is pretty good (and as such, probably someone you don't want to follow).
It is believed that the combined effect of these beliefs influences to a large extent the likelihood of an individual to perform the behavior.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com