The regularization parameters of each method were selected by a model selection criterion AICc.
The regularization parameters of LA, NEN, EN, REN and CREN were selected by a model selection criterion, BIC or AICc.
The final sparse PCA solution can be selected by applying a model selection criterion.
The best model to describe the release profile was selected based on the highest model selection criterion (MSC) and the highest correlation coefficient (r), as well as the best curve fitting.
The best model is selected on the basis of a model selection criterion, simultaneously providing the optimal number of clusters and assigning cluster membership to observations.
In some studies, models that are selected because they optimize a particular model selection criterion are used to infer a relationship between PM and mortality (Draper 1995; Goldberg et al. 2006; Kelsall et al. 1997).
For each pair of values, we perform a single modeling experiment by running ProBMoT with the corresponding model selection criterion.
Therefore, we select the ML poset without an additional model selection criterion such as the Akaike or Bayesian information criterion (AIC and BIC, respectively).
We show that it is a consistent model selection criterion in the sense that as sample size tends to infinity, the model selected coincides with the true model with probability approaching to one.
We address a number of methodological issues, including how the number of components selected depends on the sample size, how the choice of model selection criterion influences the results, and how estimates of mixture model parameters based on multiple samples from the same population can be combined to produce confidence intervals.
Model selection criterion.
