Introduction to Akaike (1973) Information Theory and an Extension of the Maximum Likelihood Principle
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[1] M. Stone,et al. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[2] H. Akaike. A Bayesian analysis of the minimum AIC procedure , 1978 .
[3] V. Solo. The Statistical Theory of Linear Systems E. J. Hannan and Manfred Deistler John Wiley & Sons, 1988 , 1992, Econometric Theory.
[4] C. L. Mallows. Some comments on C_p , 1973 .
[5] J. Ware,et al. Applications of Statistics , 1978 .
[6] G. Kitagawa,et al. Akaike Information Criterion Statistics , 1988 .
[7] M. Stone. An Asymptotic Equivalence of Choice of Model by Cross‐Validation and Akaike's Criterion , 1977 .
[8] S. Sclove. Application of model-selection criteria to some problems in multivariate analysis , 1987 .
[9] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[10] H. Bozdogan. Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions , 1987 .
[11] Solomon Kullback,et al. Information Theory and Statistics , 1960 .
[12] David M. Allen,et al. The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction , 1974 .
[13] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[14] Seymour Geisser,et al. The Predictive Sample Reuse Method with Applications , 1975 .