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Bayesian derivation of Akaike's information criterion

1991
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Akaike’s Information Criterion (AIC) and the Third Variance

2013
One statistic in selecting a multiple regression equation is Mallows’ C p , which is an approximation of the error variance of the estimates given by a multiple regression equation. This error variance multiplied by n is written as $$\displaystyle\begin{array}{rcl} E{\Bigl [\sum _{i=1}^{n}{(\hat{y}_{ i} - E[y_{i}])}^{2}\Bigr ]}& =& E{\Bigl [{\bigl (
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Determination of the order of a Markov chain by Akaike's information criterion

Journal of Applied Probability, 1975
H. Tong
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Akaike Information Criterion

2022
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Autoregressive model fitting with noisy data by Akaike's information criterion (Corresp.)

IEEE Transactions on Information Theory, 1975
H. Tong
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Non-Linear Time Series Model Identification by Akaike's Information Criterion

, 1977
T. Ozaki, H. Oda
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Detection of genes with tissue-specific expression patterns using Akaike's information criterion procedure.