Multimodel Inference

Keywords

Akaike information criterion, Frequentist inference, Bayesian information criterion, Model selection, Deviance information criterion

References

• An Asymptotic Equivalence of Choice of Model by Cross‐Validation and Akaike's CriterionM. Stone — 1977
• Bayesian measures of model complexity and fitDavid Spiegelhalter, Nicola Best, Bradley P. Carlin — 2002
• On Information and SufficiencyHuaiyu Zhu — 1997
• Further analysts of the data by akaike' s information criterion and the finite correctionsNariaki Sugiura — 1978
• Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authorsJennifer A. Hoeting, David Madigan, Adrian E. Raftery — 1999
• Bayesian Model Choice: Asymptotics and Exact CalculationsAlan E. Gelfand, Dipak K. Dey — 1994
• Regression and time series model selection in small samplesClifford M. Hurvich, Chih‐Ling Tsai — 1989
• How to Tell When Simpler, More Unified, or Less Ad Hoc Theories will Provide More Accurate PredictionsMALCOLM FORSTER, Elliott Sober — 1994
• Model selection: An integral part of inferenceS. T. Buckland, Kenneth P. Burnham, Nicole H. Augustin — 1997
• Model selection and multimodel inference : a practical information-theoretic approachFred S. Guthery, Kenneth P. Burnham, David Anderson — 2003
• A Critique of the Bayesian Information Criterion for Model SelectionDavid L. Weakliem — 1999
• Report of the Editors—2001A. C. Davison, Miriam Firth — 2002
• Predictive Variable Selection in Generalized Linear ModelsMary C. Meyer, Purushottam W. Laud — 2002
• Prediction with vague prior knowledgeErhard Reschenhofer — 1996
• Spline Adaptation in Extended Linear Models (with comments and a rejoinder by the authorsMark Hansen, Charles Kooperberg — 2002
• Model selection for extended quasi-likelihood models in small samples.Clifford M. Hurvich, Chih‐Ling Tsai — 1995
• Generalizing the derivation of the schwarz information criterionJoseph E. Cavanaugh, Andrew A. Neath — 1999
• Approximate Bayes factors and accounting for model uncertainty in generalised linear modelsAdrian E. Raftery — 1996
• Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)Leo Breiman — 2001
• Key Concepts in Model Selection: Performance and Generalizability.Malcolm R Forster — 2000

Cited by

• The Influence of Landscape and Weather on Foraging by Olfactory Meso-predators in UtahRebekah E. Dritz — 2010
• The Influence of Habitat on Nest Survival of Snowy and Wilson's Plovers in the Lower Laguna Madre Region of TexasSharyn L. Hood, Stephen J. Dinsmore — 2007
• Fish-borne trematodosis: potential risk of infection by Ascocotyle (Phagicola) longa (Heterophyidae).Cláudia Portes Santos, Karina Corrêa Lopes, Viviane da Costa — 2013
• Understanding sources of sea lice for salmon farms in Chile.G.McC. Haworth — 2013
• Biogeography and host‐related factors trump parasite life history: limited congruence among the genetic structures of specific ectoparasitic lice and their rodent hostsFabienne Benhamou-Batut — 2013
• The contribution of moral disengagement in mediating individual tendencies toward aggression and violence.Margie Buchanan‐Smith, Jeremy Lind — 2014
• Confronting terrestrial biosphere models with forest inventory data.Carlos Areán — 2014
• Habitat heterogeneity drives the geographical distribution of beta diversity: the case of New Zealand stream invertebratesMaría Purificación Aliende García, Víctor Manuel Idoate García — 2014
• Differential Trajectories of Well-being in Older Adult Women: The Role of OptimismKathleen J. Kitching — 2014
• Survival Analysis and Actuarial Parameters of Sternechus subsignatus (Coleoptera: Curculionidae) AdultsM. Guillermina Socías, Guido A. Van Nieuwenhove, María Gabriela Murúa — 2015
• Community ecology approaches to amphibian conservationJoanna Emily Hawley — 2010
• Clinical Outcome Prediction Using Single-Cell DataGiannantonio Bottino, G. Mandrone — 2016
• Ecological similarity is related to phylogenetic distance between species in a cross-niche field transplant experiment.瑠美子 柴田 — 2016
• Visual Complexity and Affect: Ratings Reflect More Than Meets the Eye厚司 門脇 — 2018
• Dynamic Basis for dG•dT misincorporation via tautomerization and ionizationH. Kendrick, E.V. Lofgren, D.E. Rundquist — 2018
• Functional diversity positively affects prey suppression by invertebrate predators: a meta‐analysisBeth Innocenti — 2018
• Modeling lichen performance in relation to climate : scaling from thalli to landscapesJonsson Čabrajić, Anna Anna — 2009
• The influence of environmental factors on breeding system allocation at large spatial scalesRaquel Blanco del Barrio — 2018
• Parent-Youth Divergence (and Convergence) in Reports of Youth Internalizing Problems in Psychiatric Inpatient Care亮佑 木下, 泰子 吉野 — 2019
• Influence of child-targeted fast food TV advertising exposure on fast food intake: a longitudinal study of preschool-age children.Teresa Sánchez Sánchez — 2019

Related papers

• Are information criteria good enough to choose the right number of regimes in hidden Markov models?Bouchra Nasri, Bruno Rémillard, Mamadou Yamar Thioub — 2023
• Information criteria: How do they behave in different models?Paulo César Emiliano, Mário Javier Ferrua Vivanco, Fortunato Silva de Menezes — 2014
• Selecting Path Models in SEM: A Comparison of Model Selection CriteriaLi-Chung Lin, Po‐Hsien Huang, Li‐Jen Weng — 2017
• Comparison of Akaike information criterion (AIC) and Bayesian information criterion (BIC) in selection of an asymmetric price relationshipHenry De-Graft Acquah — 2010
• Comparison of Akaike information criterion (AIC) and Bayesian information criterion (BIC) in selection of stock–recruitment relationshipsYanjun Wang, Qun Liu — 2006
• PERFORMANCE OF INFORMATION CRITERIA FOR MODEL SELECTION IN A LATENT GROWTH CURVE MIXTURE MODELSatoshi Usami — 2014
• Comparision of AIC and BIC in the Selection of Stock-Recruitment RelationshipsRen Yi-ping — 2005
• A review and comparison of four commonly used Bayesian and maximum likelihood model selection toolsEric J. Ward — 2008