The adjusted odds ratio is then produced by taking a weighted average (weights being proportional to the cell frequencies of each table) of the odds ratio.
Each cluster is scored by its weighted density (weights being the PPI reliabilities), multiplied by the number of clustering algorithms that produced it, and normalized to 1.
Each final cluster is scored by its weighted density (weights being the SWC posterior probabilities), multiplied by the number of clustering algorithms that produced it, and normalized to 1.
For mTDT P, the approximation of a weighted χ with weights being the haplotype frequencies was used (Independent random variables: characterization and approximation of a weighted χ distribution).
Consequently, in a discrete regular structure, the aggregate interference can be viewed as a finite or infinite sum of weighted RVs with the weights being straightforwardly obtained from geometric considerations.
For the sake of robustness we also estimate the final model by weighted least squares with weights being the estimated standard deviations of residuals for each city (so there is cross section heteroscedasticity but no cross section dependence).
The final model is built by combining weighted individual tree contributions, weights being proportional to the trees performances.
They initially proposed the computation of a score of distress based on a weighted sum of items; the weights being the severity score of each item.
For class prediction, we propose to use a classifier similar to that used in [ 1], as a weighted sum of votes, with "weights" being a gene's (or gene pair's) level of importance and "vote" being the gene's (or gene pair's) prediction on a particular inquiry sample.
Noting that each peak, given by, corresponds to a hit which is reflected in (34), and the ambiguity function consists of a weighted sum of hits with the weights being of the form, optimizing the hit-matrix is analogous to optimizing the upper bound on the ambiguity function along the spatial frequency dimensions.
The GES was then computed in our cohort as the weighted mean of the genes retained, weights being +1 or −1, depending on the expression of each gene in M2 relative to M1.
