On model selection criteria in multimodel analysis - Ye - 2008 - Water Resources Research - Wiley Online Library
Model selection for dynamical systems via sparse regression and information criteria | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
SciELO - Brasil - Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV- models Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the
Sustainability | Free Full-Text | Measuring the Urban Forms of Shanghai's City Center and Its New Districts: A Neighborhood-Level Comparative Analysis | HTML
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Tree canopy arthropods have idiosyncratic responses to plant ecophysiological traits in a warm temperate forest complex | Scientific Reports
Model selection for dynamical systems via sparse regression and information criteria | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
PDF) Extending the Akaike Information Criterion to Mixture Regression Models
On the performance of information criteria for model identification of count time series
Full article: Nonlinear predictive model selection and model averaging using information criteria
Bayesian Information Criterion - an overview | ScienceDirect Topics
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PDF] Model selection for ecologists: the worldviews of AIC and BIC. | Semantic Scholar
PDF) Model selection for ecologists: The worldviews of AIC and BIC
A new approach for location-specific seasonal outlooks of typhoon and super typhoon frequency across the Western North Pacific region | Scientific Reports
SciELO - Brasil - Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the influence of different numbers of GEV- models Selecting “the best” nonstationary Generalized Extreme Value (GEV) distribution: on the
Multimodel inference for biomarker development: an application to schizophrenia | Translational Psychiatry
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PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar
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History of multimodel inference via model selection in wildlife science - Lindberg - 2015 - The Journal of Wildlife Management - Wiley Online Library
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
IJGI | Free Full-Text | Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data | HTML
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests | BMC Bioinformatics | Full Text
Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM) - ScienceDirect
