Sentence examples for model selection use from inspiring English sources

This approach is differentiated from the usual sequential model development for given impedance spectra by its emphasis on obtaining supporting observations to guide model selection, use of error analysis to guide regression strategies and experimental design, and use of models to guide selection of new experiments.

In theory, at infinite sample size, model selection using BIC selects the true model if it is included in the search space [56].

Model selection using AIC criteria allowed us to identify the time period over which to consider management practices that best explain plant patterns.

A stepwise model selection analysis was performed, yielding the same markers that were selected by stepwise model selection using an ordinary Cox model (data not shown).

Performing model selection using Bayes factors is particularly useful when dealing with a few models only.

To this end, we used stepwise model selection using the Akaike information criteria (AIC) to select the model with best explanatory power (step function in R).

& Farrell, S. AIC model selection using Akaike weights.

Arnold, T. W. Uninformative parameters and model selection using Akaike's Information Criterion.

Among these 8 models, the best model for the current design was the social reference model (i.e., M4), according to model selection using free energy.

STILT performs exact Bayesian parameter inference and stochastic model selection using a particle-filter-based algorithm.

While model selection using compositional modeling has been shown to be intractable, it is tractable when all model fragment approximations are causal approximations.