The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity - Brewer - 2016 - Methods in Ecology and Evolution - Wiley Online Library
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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
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests | BMC Bioinformatics | Full Text
Performance of criteria for selecting evolutionary models in phylogenetics: a comprehensive study based on simulated datasets | BMC Ecology and Evolution | Full Text
On model selection criteria in multimodel analysis - Ye - 2008 - Water Resources Research - Wiley Online Library
Multimodel Inference: Understanding AIC and BIC in Model Selection | BibSonomy
Mathematics | Free Full-Text | A New Criterion for Model Selection | HTML
IJERPH | Free Full-Text | Examining Type 1 Diabetes Mathematical Models Using Experimental Data | HTML
AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons | SpringerLink
Quiz 3. Model selection Overview Objectives determine the “choice” of model Modeling for forecasting Likelihood ratio test Akaike Information Criterion. - ppt download
History of multimodel inference via model selection in wildlife science - Lindberg - 2015 - The Journal of Wildlife Management - Wiley Online Library
Model selection: Cp, AIC, BIC and adjusted R² | by Yash Choksi | Analytics Vidhya | Medium
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 for biomarker development: an application to schizophrenia | Translational Psychiatry
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A brief introduction to mixed effects modelling and multi-model inference in ecology [PeerJ]
Percentages of correct model order selection by AIC, AICC, BIC, C p ,... | Download Scientific Diagram
Bayesian Information Criterion - an overview | ScienceDirect Topics
Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). - Abstract - Europe PMC
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
PDF) Comparing dynamic causal models using AIC, BIC and Free Energy
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Model Selection using the glmulti and MuMIn Packages [The metafor Package]
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Model Selection using the glmulti and MuMIn Packages [The metafor Package]
Burnham, Anderson - AIC and BIC paper.pdf - Multimodel Inference Understanding AIC and BIC in Model Selection KENNETH P. BURNHAM DAVID R. | Course Hero
Burnham, Anderson - AIC and BIC paper.pdf - Multimodel Inference Understanding AIC and BIC in Model Selection KENNETH P. BURNHAM DAVID R. | Course Hero
![A brief introduction to mixed effects modelling and multi-model inference in ecology [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2018/4794/1/fig-3-full.png "A brief introduction to mixed effects modelling and multi-model inference in ecology [PeerJ]")
A brief introduction to mixed effects modelling and multi-model inference in ecology [PeerJ]
