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In particular, such a diagnostic bias can happen to any classifiers due to different decision models, input data distributions, and/or model selection choices.
The user then accepts, or overrules the model selection choices and enters the MrBayes analyses settings (nRuns, nGenerations, Sample Frequency and Burn-in percentage).
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Were the large potential systematic errors arising from model selection choice incorporated, we suspect overall uncertainty would increase by at least an order of magnitude.
For ML analysis, PhyML offers only one model for all positions, so the user accepts or overrules the model selection choice and analysis settings (including number of bootstrap runs).
Although the DIC is now widely used for model choice selection in complex Bayesian models, its usage is at least debatable [ 21].
In our model system, direct selection on female choice is likely to be strong [ 92, 93] and thus may override indirect selection.
We introduce the stationary genome on a tree (SGT) framework, which allows us to fit empirical gene frequency distributions with fewer parameters than the IMG models yet provides more flexibility in the choice of models with selection.
To date, most studies addressing this attitudinal self-selection issue fall into seven categories: direct questioning, statistical control, instrumental variables models, sample selection models, joint discrete choice models, structural equations models, and longitudinal designs.
Hybridization of these two concepts can model supplier selection problem in all circumstances and reaches the optimal choice.
Castellano (2010) modeled additive and multiplicative signal interactions in a model of mate choice based on sequential assessment of cues, showing that signals used in species recognition can amplify the effects of mate choice on sexual selection.
A model of counterfactual choice behavior similar to that previously used in other variants of this task (11,17) was fitted to subjects' wheel selections (equation 4).
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