On model selection criteria in multimodel analysis - Ye - 2008 - Water Resources Research - Wiley Online Library
![PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/28a33248a3825855a7cd8d80c2c361d0e8d56753/3-Table1-1.png "PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar")
PDF] A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion | Semantic Scholar
Multimodel inference to quantify the relative importance of abiotic factors in the population dynamics of marine zooplankton - ScienceDirect
Full article: Nonlinear predictive model selection and model averaging using information criteria
A new approach for location-specific seasonal outlooks of typhoon and super typhoon frequency across the Western North Pacific region | Scientific Reports
Multimodel inference for biomarker development: an application to schizophrenia | Translational Psychiatry
On the performance of information criteria for model identification of count time series
PDF) Extending the Akaike Information Criterion to Mixture Regression Models
The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
Bayesian Information Criterion - an overview | ScienceDirect Topics
PDF) Comparing dynamic causal models using AIC, BIC and Free Energy
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests | BMC Bioinformatics | Full Text
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
![PDF] Model selection for ecologists: the worldviews of AIC and BIC. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/09d9972ea7327e5506cbaa4ea568abe6149c0d10/5-Table2-1.png "PDF] Model selection for ecologists: the worldviews of AIC and BIC. | Semantic Scholar")
PDF] Model selection for ecologists: the worldviews of AIC and BIC. | Semantic Scholar
IJGI | Free Full-Text | Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data | HTML
Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM) - ScienceDirect
Net survival curves: comparison between the PP estimates and estimates... | Download Scientific Diagram
Quiz 3. Model selection Overview Objectives determine the “choice” of model Modeling for forecasting Likelihood ratio test Akaike Information Criterion. - ppt download
Model selection for dynamical systems via sparse regression and information criteria | Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Model Selection and Multimodel Inference | SpringerLink
Frontiers | Incorporating Parameter Estimability Into Model Selection | Ecology and Evolution
History of multimodel inference via model selection in wildlife science - Lindberg - 2015 - The Journal of Wildlife Management - Wiley Online Library
PDF) Erratum to: AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons
Tree canopy arthropods have idiosyncratic responses to plant ecophysiological traits in a warm temperate forest complex | Scientific Reports
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons | SpringerLink
