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Deterministic interpolators, including IDW, use weights based only on distance between measured and unmeasured points while geostatistical (or stochastic, e.g., kriging) use sophisticated weights combining distance with probabilistic statistical models of the spatial variation among measured points.
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More sophisticated weighting schemes could be designed, including time delays for variable onsets of converging mortality in the years to forecast.
However, a more sophisticated weighting technique that considers all subsets of information sources: the fuzzy integral (FI) approach, is considered in this work [19].
The combination of the Category 2 submissions resulted in even better overall performance than each individual method, indicating the complementarity of the approaches and supporting the potential use of consensus fragmentation results as has been shown earlier for fragmenters [12, 52] and also recently for toxicity modeling using a more sophisticated weighting than that attempted here [53].
More sophisticated weighting methods are needed to mitigate this bias [ 5, 8].
More sophisticated weighting techniques based on diagnostic criteria (e.g., illness onset, severity, etc).
Later studies have shown that more sophisticated weighting methods are needed to lessen this bias [ 5, 8].
A more sophisticated weighting scheme uses "expected branch lengths", i.e. the product of the posterior likelihood and the maximum likelihood branch length of the interior edge of the corresponding quartet tree.
The use of most sophisticated weighting schemes, in which the continuous distribution of values of co-expression of all the genes in the module (and possibly outside the module) were taken into account, would probably improve even more the results.
Secondly, we introduced a novel scoring function for the contig adjacency estimation that is biologically motivated in two ways: It contains a sophisticated weighting scheme for the distances of projected contigs and it integrates the phylogenetic distances of the species to alleviate the effects caused by rearrangements.
This assumes that all variants contribute equally to the risk, and a more sophisticated rule weights the variants depending on their respective genetic effect (Carayol et al. 2010).
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