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For each individual i in the sample, we compute the posterior probabilities of being of each type using Bayes' rule.
For a p- a-SiN: H/a-Si: H)-i (a-Si: H)-n (a-Si: H) samp- a-SiNcomp- a-SiN Fermi level position relative to tH/a-Sii: H -ilence band edge.
For each firm belonging to the INVIND sample, we compute the Kelley's skewness of the distribution of yearly wage changes for job stayers and we average across the years between 2003 and 2008.
For all countries in the sample, we compute standardized population-representative measures, applying the DHS sample weights.
From this sample, we compute: Fi : the number of species for which i fragments have been sequenced.
For a given sample, we compute the log-likelihood ratio between different disease phenotypes based on the expression level of each gene.
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For each sample we computed the corresponding functional boxplot.
In order to validate the models obtained with the two approaches described in the previous sections we simulated both models 100 times each, and on each simulated sample we computed the 2D Minkowski functionals on the same number of sections orthogonal to Z direction considered in the optimisation procedures.
For each tumor sample, we computed a score that represented the sum of the normalized expression levels for each of the 87 transcripts from the cortex gene set.
For each such permuted sample, we computed the mean, over all positive TC nuclei, of the distance to the closest inner cell nucleus.
To estimate the degree of discriminable variation in coloration within each plumage patch for our sample we computed the visual contrast (hereafter ΔSvar or ΔLvar) between each point and a fixed point in space.
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