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If this probability is 0 that the other guy chooses Right, that's the same as saying that the other guy is going to choose Left.
If this probability is higher than a suitable threshold, then a link is included.
If this probability is high, it indicates that a node captures the channel for a long time and its neighbors starve during this period.
If this probability is low we can reject H0 and say that the differences in the two series of measurements are statistically significant.
If this probability is very low, the hypothesis is said to pass the test at a significance level that is given by the probability that the results obtained are due to chance.
In essence, for every pixel at a given time, the probability of observing the value, given the pixel history, is estimated (1). and the pixel is classified as background if this probability is bigger than a given threshold or as foreground if not.
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The non-monotonic dependency of P10 on l can be intuitively understood as follows: decreasing l can decrease P10 because it increases the probability that an allele randomly drawn from the eDNA pool contains a mutation that is not carried by the least-loaded class (if l = 1, this probability is one).
Assuming that n and m are irreducible, with 0≤ n≤ m and t= n/ m, the probability P(T= t) is given exactly by (2) where K is the largest integer such that Km≤ N, i.e.. Clearly if t is not rational, this probability is 0. Thus, in principle, from this distribution we can derive all the properties of the score distribution, including its mean and variance, under the assumptions of the binomial model.
This probability is high if: 1.
If source j is a person, this probability is p1, for the same household, or p2 for exposure in the community, multiplied by the probability of person j being infectious on day t.
Assuming there are no false positives, this probability is 0 if there exist i, j such that s i, j = 1 and m i (tijs) = 0. Otherwise, it is given by where ξ is the probability of correctly detecting the presence of the organism in a swab taken from a colonized patient (i.e., the sensitivity).
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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