Blockwise AICc and its consistency properties in model selection

DOI10.1080/03610926.2019.1691734OpenAlexW2990841047MaRDI QIDQ5078534

Lingzhu Kong, Lixun Zhu, Guofeng Song, Ai Gao

Publication date: 23 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2019.1691734

zbMATH Keywords

consistencymodel selectionAICcbAICc

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Asymptotic properties of criteria for selection of variables in multiple regression
• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Modeling by shortest data description
• Estimating the dimension of a model
• Further asymptotic properties of the generalized information criterion
• Regression and time series model selection in small samples
• Further analysis of the data by Akaike's information criterion and the finite corrections
• Model Selection for Extended Quasi-Likelihood Models in Small Samples
• Criteria for Linear Model Selection Based on Kullback's Symmetric Divergence
• Model selection with misspecified spatial covariance structure
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