World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
42
Citations
119057
World Ranking
1741
National Ranking
24

Research.com Recognitions

  • 2006 - Kyoto Prize in Mathematical sciences Major contribution to statistical science and modeling with the development of the Akaike Information Criterion (AIC)
  • 1981 - Fellow of the American Statistical Association (ASA)

Overview

Hirotugu Akaike was affiliated with The Graduate University for Advanced Studies, SOKENDAI in Japan. Their work primarily contributed to the field of statistical science and modeling.

Among the notable recognitions received by Hirotugu Akaike were the Kyoto Prize in Mathematical Sciences awarded in 2006 for a major contribution to statistical science and modeling with the development of the Akaike Information Criterion (AIC), and the distinction of Fellow of the American Statistical Association (ASA) in 1981.

Akaike's development of the Akaike Information Criterion introduced a method for model selection that balances model fit and complexity, influencing various statistical modeling practices.

Best Publications

  • A new look at the statistical model identification

    H. Akaike

  • Information Theory and an Extension of the Maximum Likelihood Principle

    Hirotogu Akaike

  • Factor Analysis and AIC

    Hirotugu Akaike

  • Information theory as an extension of the maximum likelihood principle

    H. Akaike

  • Fitting autoregressive models for prediction

    Hirotugu Akaike

  • Statistical Predictor Identification

    Hirotugu Akaike

  • Maximum likelihood identification of Gaussian autoregressive moving average models

    Htrotugu Akaike

  • Likelihood of a model and information criteria

    Hirotugu Akaike

  • Canonical Correlation Analysis of Time Series and the Use of an Information Criterion

    Hirotugu Akaike

  • On entropy maximization principle

    H. Akaike

  • A Bayesian analysis of the minimum AIC procedure

    Hirotugu Akaike

  • A Bayesian extension of the minimum AIC procedure of autoregressive model fitting

    Hirotugu Akaike

  • Likelihood and the Bayes procedure

    Hirotugu Akaike

  • Prediction and Entropy

    Hirotugu Akaike

  • Stochastic theory of minimal realization

    H. Akaike

  • Markovian Representation of Stochastic Processes and Its Application to the Analysis of Autoregressive Moving Average Processes

    Hirotugu Akaike

  • Power spectrum estimation through autoregressive model fitting

    Hirotugu Akaike

  • Autoregressive model fitting for control

    Hirotugu Akaike

  • Markovian Representation of Stochastic Processes by Canonical Variables

    Hirotugu Akaike

  • Block Toeplitz Matrix Inversion

    Hirotugu Akaike

  • INFORMATION THEORY AS AN EXTENSION OF THE MAXIMUM LIKELIHOOD

    H Akaike

Frequent Co-Authors

Genshiro Kitagawa
Genshiro Kitagawa The Institute of Statistical Mathematics
Yosihiko Ogata
Yosihiko Ogata The Institute of Statistical Mathematics
Dimitris A. Pados
Dimitris A. Pados Florida Atlantic University

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Best Scientists Citing Hirotugu Akaike