Sentence examples for model selection framework from inspiring English sources

Two nonlinear models, whose form is adopted from Nolan and Hitt with components that represent NO3– sources, attenuation, and transport, are created and selected with a new model selection framework for nonlinear regression models with correlated explanatory variables.

We hypothesized that the presence or absence of dengue was associated with one or more of these factors; each factor was presented as a suite of census variables, representing testable variable ensemble hypotheses in a model selection framework - a modeling strategy that has been previously described [ 22].

This fuzzy model selection framework enhances our ability to automatically select parsimonious model structures for large databases of watersheds and therefore provides an important step towards understanding how controls on the watershed response vary with landscape and climatic characteristics.

In this work an online model selection framework is presented.

This paper introduces RRegrs as a new computer-aided model selection framework using a single R function call.

Graphical abstract RRegrs is a computer-aided model selection framework for R multiple regression models; this is a fully validated procedure with application to QSAR modelling.

Fortunately, with a computationally efficient Markov Chain Monte Carlo (MCMC) algorithm, Bayesian model selection frameworks have been developed for identifying epistatic QTL for complex traits (Yi et al., 2005, 2007).

My tests of common ancestry are very pointedly conducted within a Bayesian and model-selection framework, eschewing frequentist null hypothesis methodology — a point made very prominently in the original report.

MDL has rich connections with other model-selection frameworks.

41 In this study, sensitivity analyses of the missingness assumption in traditional models were performed by jointly modeling the measurement and dropout processes under the Diggle-Kenward selection modeling framework with the assumptions of both ignorable and non-ignorable missingness.

The attempt to simultaneously estimate the baseline covariate and the outcome effects in this selection modelling framework was, as anticipated, not very successful so in section "Is the primary trial outcome predictive of missingness?