Hirotugu Akaike

From Wikipedia, the free encyclopedia
  (Redirected from Hirotsugu Akaike)
Jump to: navigation, search

Hirotugu Akaike (赤池 弘次 Akaike Hirotsugu?) (IPA: [akaike hiɽotsu͍ɡu͍]; November 5, 1927 – August 4, 2009) was a Japanese statistician. In the early 1970s he formulated a criterion for model selection—the Akaike information criterion, which is now widely used.

Awards[edit]

In 2006 Akaike was awarded the Kyoto Prize for his major contribution to statistical science and modeling in the development of the Akaike Information Criterion (AIC).

Publications (selected)[edit]

  • Akaike, Hirotugu (December 1974). "A new look at the statistical model identification". IEEE Transactions on Automatic Control 19 (6): 716–723. doi:10.1109/TAC.1974.1100705. 
  • Akaike, H. (1976). Canonical correlation analysis of time series and the use of an information criterion. R.K. Mehra, and D.G. Lainiotis (eds.) System Identification: Advances and Case Studies, 27–96. Academic Press, New York, NY.
  • Akaike, H. (1977). On entropy maximization principle. P.R. Krishnaiah (ed.) Applications of statistics, 27–41. North-Holland, Amsterdam, The Netherlands.
  • Akaike, H. (1978). A new look at the Bayes procedure. Biometrika 65, 53–59.
  • Akaike, H. (1978). A Bayesian analysis of the minimum AIC procedure. Annals of the Institute of Statistical Mathematics 30, 9–14.
  • Akaike, H. (1978). On the likelihood of a time series model. The Statistician 27, 217–235.
  • Akaike, H. (1979). A Bayesian extension of the minimum AIC procedure of autoregressive model fitting. Biometrika 66, 237–242.
  • Akaike, H. (1980). Likelihood and the Bayes procedure (with discussion). J.M. Bernardo, M.H. De Groot, D.V. Lindley, and A.F.M. Smith (eds.) Bayesian Statistics, 143–203. University Press, Valencia, Spain.
  • Akaike, H. (1981). Likelihood of a model and information criteria. Journal of Econometrics 16, 3–14.
  • Akaike, H. (1981). Modern development of statistical methods. P. Eykhoff (ed.) Trends and Progress in System Identification, 169–184. Pergamon Press, Paris.
  • Akaike, H. (1983). Statistical inference and measurement of entropy. G.E.P. Box, T. Leonard, and C-F. Wu (eds.) Scientific Inference, Data Analysis, and Robustness, 165–189. Academic Press, London.
  • Akaike, H. (1983). Information measures and model selection. International Statistical Institute 44, 277–291.
  • Akaike, H. (1983). On minimum information prior distributions. Annals of the Institute of Statistical Mathematics 35A, 139–149.
  • Akaike, H. (1985). Prediction and entropy. A.C. Atkinson, and S.E. Fienberg (eds.) A Celebration of Statistics, 1–24. Springer, New York, NY.
  • Akaike, H. (1987). Factor analysis and AIC. Psychometrika 52, 317–332.
  • Akaike, H. (1992). Information theory and an extension of the maximum likelihood principle. S. Kotz, and N.L. Johnson (eds.) Breakthroughs in Statistics, Vol.1: 610–624. Springer-Verlag, London.
  • Hirotugu Akaike and Toichiro Nakagawa (1988), Statistical analysis and control of dynamic systems, Tokyo, Dordrecht: KTK Scientific; London: Kluwer. ISBN 90-277-2786-4. (Translation of 1972 book in Japanese.)
  • Selected papers of Hirotugu Akaike (edited by Emanuel Parzen, Kunio Tanabe, Genshiro Kitagawa), New York: Springer, 1998. ISBN 0-387-98355-4.

Interview[edit]

  • Findley, David F.; Emanuel Parzen (February 1995). "A conversation with Hirotugu Akaike". Statistical Science 10 (1): 104–117. doi:10.1214/ss/1177010133. 

External links[edit]