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Volumes and issues

Search all Japanese Journal of Statistics and Data Science articles
  • Volume 6

    • Issue 2

      Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Modern Methods and Applications for Biodiversity Studies” (Guest Editors: Osamu Komori · Yasuhiro Kubota)

    • Issue 1

      Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Statistics for Stochastic Processes” (Guest Editor: Masayuki Uchida)

  • Volume 5

    • Issue 2

      Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Data Science: Present and Future” (Guest Editor: Manabu Iwasaki)

    • Issue 1

      Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Statistics for COVID-19 Pandemic Data” (Guest Editor: Koji Kurihara)

  • Volume 4

    • Issue 2

      Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Recent Statistical Methods for Survival Analysis” (Guest Editors: Takeshi Emura. Il Do Ha)

    • Issue 1

      Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Statistics for High-Frequency Data” (Guest Editor: Hiroki Masuda)

  • Volume 3

    • Issue 2

      Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Theory and Practice of Surveys” (Guest Editor: Hiroshi Saigo)

    • Issue 1

      Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Spatial Statistics” (Guest Editor: Yasumasa Matsuda)

  • Volume 2

    • Issue 2

      Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on “Information Theory and Statistics” (Guest Editor: Takafumi Kanamori)

    • Issue 1

      Supported by JSPS KAKENHI Grant Number JP19HP2005. Including a Special Feature on "Computational statistics and machine learning" (Guest Editors: Hiroshi Yadohisa and Wataru Sakamoto)

  • Volume 1

    • Issue 2
    • Issue 1

      Special Feature :Perspectives on data science for advanced statistics

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