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Multimodel inference for biomarker development: an application to schizophrenia | Translational Psychiatry
IJGI | Free Full-Text | Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data | HTML
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Model selection for dynamical systems via sparse regression and information criteria | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Mathematics | Free Full-Text | Normalized Information Criteria and Model Selection in the Presence of Missing Data | HTML
Bayesian Information Criterion - an overview | ScienceDirect Topics
Full article: Nonlinear predictive model selection and model averaging using information criteria
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons | SpringerLink
PDF) Erratum to: AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton - ScienceDirect
On model selection criteria in multimodel analysis - Ye - 2008 - Water Resources Research - Wiley Online Library
Tree canopy arthropods have idiosyncratic responses to plant ecophysiological traits in a warm temperate forest complex | Scientific Reports
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests | BMC Bioinformatics | Full Text
PDF) Model selection for ecologists: The worldviews of AIC and BIC
On the performance of information criteria for model identification of count time series
Model Selection and Multimodel Inference | SpringerLink
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
A new approach for location-specific seasonal outlooks of typhoon and super typhoon frequency across the Western North Pacific region | Scientific Reports
Quiz 3. Model selection Overview Objectives determine the “choice” of model Modeling for forecasting Likelihood ratio test Akaike Information Criterion. - ppt download
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
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
Model selection for dynamical systems via sparse regression and information criteria | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
PDF) Comparing dynamic causal models using AIC, BIC and Free Energy
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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On the performance of information criteria for model identification of count time series
Net survival curves: comparison between the PP estimates and estimates... | Download Scientific Diagram