A Course in Probability

By N. Weiss. 2005

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Algorithm runtime prediction: Methods & evaluation (2012, background): “, [114]), which allows us to write the total variance as the variance across the means predicted by the individual trees (predictions are uncertain if the trees disagree), plus the average variance of each tree (predictions are uncertain if the predictions made by individual trees tend to be uncerta”
Multi-state design of flexible proteins predicts sequences optimal for conformational change (2019, background): “…¼ 1 P where aa j represents the frequency of an amino acid observed at position i for each of all twenty amino acids ( j ), and y is the sum of all i differences for all amino acids within a protein with a length of n residues [56].”
Zipf’s Law Arises Naturally When There Are Underlying, Unobserved Variables (2016, methodology): “To quantify this intuition, we use the law of total variance [24], where again x is a vector, this time with n , rather than z , elements.”