Sentence examples for model selection by from inspiring English sources

Similar to (22), we perform model selection by running the inner cross-validation on a single randomly selected outer fold.

Model selection by means of the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estimation.

This chapter examines three broad approaches to model selection: (i) minimum distance estimation criteria, (ii) Bayesian statistics, and (iii) model selection by data compression.

This paper presents an evolutionary nested sampling (ENS) algorithm to promote the proposal of effective samples for Bayesian model updating and model selection by introducing evolutionary operators into standard NS.

From a linear mixed model analysis and model selection by Akaike's information criterion values, areas of source habitats, soybean fields and rice paddies were selected for the best model, but the abundance of S. rubrovittatus was not.

Table 1 gives the percentage of optimal model selection by RDBC, B-RDBC and MW criterion.

A model selection process by AIC revealed that assuming bacterial clearance with a constant number of functional AMs (model D2 or D3 at Supplementary 2) provided the best fitting to the data in the single T4 group.

To conduct a fair and in-depth comparison, a methodological approach is pursued using exhaustive grid searches for model selection assisted by sensitivity analysis.

We believe this AIC can alleviate the dilemma of model selection encountered by professionals in the oil and gas industry.

Müller and Welsh (2009) proposed a robust consistent model selection criterion by extending the method in Müller and Welsh (2005) to GLM.

One way of evaluating models, known as Bayesian model selection, is by comparing the models on their marginal likelihood, or else on their posteriors (cf. Kass and Raftery 1995).