Sentence examples for model selection provides from inspiring English sources

The Bayesian model selection provides a systematic framework to quantify the plausibility of each model among a competing set of models, guarding against over‐parameterization with the use of Occam's razor.

This approach overcomes the difficulties related to capture heterogeneity and model selection, providing the ecological models may be adapted to capture recapture procedures in epidemiology.

Other genetic effects failed to show strong deviations from zero, and model selection provided little evidence for or against most types of effects, suggesting a low signal-to-noise ratio in this phenotype.

It must be emphasized that this analysis is only considered to be informative when the null model of neutrality is rejected and a model of selection provides a better fit to the data.

The identification of PASS regions that were considerably longer than those observed under the null model without selection provides evidence that PASS regions are enriched for positively selected haplotype blocks.

When setting the more appropriate parameters to approximate FARMS and stepwise methods (selection based on BIC and setting the model with forced-in variables as baseline model), forward selection provided a slightly worse model when using HLA variables; otherwise, the models obtained with FARMS and stepwise methods were the same and only differed in the time needed.

In these circumstances, use of model selection criteria provides a first indication of one or more suitable candidate kinetic models which should be further developed and evaluated.

QIF is useful for model selection and provides more efficient parameter estimates than GEE.

Our study showed that the application of this two-step bootstrap model selection procedure provides valuable information on model stability.

Recent work with the structured coalescent [ 21] in a model of only negative selection, provides analytical expressions for the number of both neutral and deleterious mutations showing that the effective population size varies, both going back in time, and between individuals in different fitness classes.

The specific amino acid substitution matrix for each partition was selected by using the protein model selection procedure provided in the RAxML program website (http://sco.h-its.org/exelixis/resource/download/software/ProteinModelSelection.pl).org/exelixis/resource/download/software/ProteinModelSelection.pl