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Net survival curves: comparison between the PP estimates and estimates... | Download Scientific Diagram
Model selection for dynamical systems via sparse regression and information criteria | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Quiz 3. Model selection Overview Objectives determine the “choice” of model Modeling for forecasting Likelihood ratio test Akaike Information Criterion. - ppt download
PDF) Extending the Akaike Information Criterion to Mixture Regression Models
Tree canopy arthropods have idiosyncratic responses to plant ecophysiological traits in a warm temperate forest complex | Scientific Reports
On model selection criteria in multimodel analysis - Ye - 2008 - Water Resources Research - 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
PDF) Erratum to: AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons
Sustainability | Free Full-Text | Measuring the Urban Forms of Shanghai's City Center and Its New Districts: A Neighborhood-Level Comparative Analysis | HTML
IJGI | Free Full-Text | Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data | HTML
On the performance of information criteria for model identification of count time series
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) Comparing dynamic causal models using AIC, BIC and Free Energy
Multimodel inference for biomarker development: an application to schizophrenia | Translational Psychiatry
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
Model Selection and Multimodel Inference | SpringerLink
History of multimodel inference via model selection in wildlife science - Lindberg - 2015 - The Journal of Wildlife Management - Wiley Online Library
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
Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton - ScienceDirect