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Selected Papers of Hirotugu Akaike

  • Emanuel Parzen
  • Kunio Tanabe
  • Genshiro Kitagawa

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Foreword

    1. Emanuel Parzen, Kunio Tanabe, Genshiro Kitagawa
      Pages 1-2
  3. A Conversation with Hirotugu Akaike

    1. David F. Findley, Emanuel Parzen
      Pages 3-16
  4. List of Publications of Hirotugu Akaike

    1. Emanuel Parzen, Kunio Tanabe, Genshiro Kitagawa
      Pages 17-28
  5. Papers

    1. Precursors

    2. Frequency Domain Time Series Analysis

    3. Time Domain Time Series Analysis

    4. AIC and Parametrization

    5. Bayesian Approach

      1. Hirotugu Akaike
        Pages 275-280
      2. Hirotugu Akaike
        Pages 281-287
      3. Hirotugu Akaike
        Pages 289-307
      4. Hirotugu Akaike
        Pages 309-332
      5. Hirotugu Akaike
        Pages 333-345
      6. Genshiro Kitagawa, Hirotugu Akaike
        Pages 347-356
      7. Hirotugu Akaike
        Pages 357-360
      8. M. Ishiguro, H. Akaike, M. Ooe, S. Nakai
        Pages 361-370
      9. Hirotugu Akaike
        Pages 371-386
    6. General Views on Statistics

  6. Back Matter
    Pages 433-435

About this book

Introduction

The pioneering research of Hirotugu Akaike has an international reputation for profoundly affecting how data and time series are analyzed and modelled and is highly regarded by the statistical and technological communities of Japan and the world. His 1974 paper "A new look at the statistical model identification" (IEEE Trans Automatic Control, AC-19, 716-723) is one of the most frequently cited papers in the area of engineering, technology, and applied sciences (according to a 1981 Citation Classic of the Institute of Scientific Information). It introduced the broad scientific community to model identification using the methods of Akaike's criterion AIC. The AIC method is cited and applied in almost every area of physical and social science. The best way to learn about the seminal ideas of pioneering researchers is to read their original papers. This book reprints 29 papers of Akaike's more than 140 papers. This book of papers by Akaike is a tribute to his outstanding career and a service to provide students and researchers with access to Akaike's innovative and influential ideas and applications. To provide a commentary on the career of Akaike, the motivations of his ideas, and his many remarkable honors and prizes, this book reprints "A Conversation with Hirotugu Akaike" by David F. Findley and Emanuel Parzen, published in 1995 in the journal Statistical Science. This survey of Akaike's career provides each of us with a role model for how to have an impact on society by stimulating applied researchers to implement new statistical methods.

Keywords

Covariance matrix Factor analysis Fitting Probability distribution STATISTICA Time series best fit information theory linear optimization statistics

Editors and affiliations

  • Emanuel Parzen
    • 1
  • Kunio Tanabe
    • 2
  • Genshiro Kitagawa
    • 2
  1. 1.Department of StatisticsTexas A&M UniversityCollege StationUSA
  2. 2.The Institute of Statistical MathematicsMinato-ku TokyoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-1694-0
  • Copyright Information Springer-Verlag New York, Inc. 1998
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7248-9
  • Online ISBN 978-1-4612-1694-0
  • Series Print ISSN 0172-7397
  • Buy this book on publisher's site