Sentence examples for model selection see from inspiring English sources

Even as there are guidelines on model selection (see for example [1],[77]), following different guidelines may lead to different model types.

After alignment and correct model selection (see Supporting Material 1), Bayesian, likelihood and parsimony optimality criteria produced extremely similar phylogenetic trees; the tree recovered using Bayesian methods is shown in figure 1.

For full details justifying the climate model selection, see Supplemental Material, "Validation of climate model output,"pp.

The first, or outer, layer was for estimating prediction error and the second, or inner, layer for model selection (see Figure 2).

(3) The change was then assigned as a transition or transversion based on the results of the model selection (see "Additional file 5").

In the Ka and Ks calculations, TS/TV ratios of different genomic segments were determined based on the results of model selection (see below).

The SVM models were validated by using a bootstrap replacement procedure coupled with cross-validation for the model parameter selection (see below).

However, we found that if the corresponding deterministic model exhibits persistent oscillations, decreasing population size does not increase the strength of selection on the modifier (e.g. in the standard model with strong selection; see Figure 4).

Therefore, regardless of the number of phases selected by different approaches to model selection, we see that the models with PA are preferred over models without.

We determine the number of underlying distributions (one or two) using the EM algorithm in combination with a model selection method, see below.

We used categorical regressions with optimal scaling, employing the Lasso technique (Least Absolute Shrinkage and Selection Operator) with bootstrapping for model selection to see whether the development index or population density could better explain: a) occupational in and out-degree centrality, b) the level of network density, and c) the level of network centralization.