1. Akaike, H. (1973). Information theory and an extension of the maximum likelihood principle. In B. N. Petrov & B. F. Csaki (Eds.),Second International Symposium on Information Theory, (pp. 267–281). Academiai Kiado: Budapest.
2. Akaike, H. (1974). A new look at the statistical model identification.IEEE Transactions on Automatic Control, AC-19, 716–723.
3. Akaike, H. (1976). Canonical correlation analysis of time series and the use of an information criterion. In R. K. Mehra & D. G. Lainiotis (Eds.),System identification (pp. 27–96). New York: Academic Press.
4. Akaike, H. (1977). On entropy maximization principle. In P. R. Krishnaiah (Ed.),Proceedings of the Symposium on Applications of Statistics (pp. 27–47). Amsterdam: North-Holland.
5. Akaike, H. (1978). On newer statistical approaches to parameter estimation and structure determination.International Federation of Automatic Control, 3, 1877–1884.