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Results for models selection are detailed in the Appendix A. The results of the best models for the six studied traits are summarized in Table 1 and results of the full models in Appendix B. We first focused our analysis on the comparison between the hybrids and their parents.
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We present a method to use samples from simulated predictive distributions for selecting experiments useful for model selection.
Each modeling regime was fit independently with a resulting likelihood used for model selection involving Akaike information criterion (AIC).
Two criteria were used for model selection.
Additional odorant activity data we used for model selection.
For model selection, significance level α = 0.05 was used.
In this research, BIC is used for model selection.
4.3, a finer grid is needed for model selection.
The paper also contains several statistical measures for model selection.
Illustrate the use of the EMLasso technique for model selection.
In [28], authors defined the framework for automated model selection and described a simple algorithm for model selection.
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