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Contaminant source reconstruction by empirical Bayes and Akaike's Bayesian Information Criterion.
Journal of Contaminant Hydrology, 2016A. Zanini, A. Woodbury
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Robust Akaike Information Criterion for ARMA models
2004A robust version of the Akaike Information Criterion (AIC) [5] is defined to the aim of selecting the order of an ARMA model. It is an extended version of the classical criterion based on weighted likelihood methodology [12]. To achieve robustness a weight is associated to each component of the conditional log–likelihood [3].
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The inversion of deep-sea magnetic anomalies using Akaike's Bayesian information criterion
, 2012C. Honsho, T. Ura, K. Tamaki
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Further analysts of the data by akaike' s information criterion and the finite corrections
, 1978N. Sugiura
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Model selection using the Akaike information criterion [PDF]
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A Note on the Asymptotic Unbiasedness of Akaike Information Criterion
Yong Li, Zhou Wu, Jun Yu, Tao Zengopenaire +1 more source

