Information Radius

Information Radius is a measure of divergence that quantifies the maximum average information difference between two probability distributions within a given family, serving as a metric to assess the worst-case informational disparity in statistical inference and robustness analysis.

11

Publications

291

Citations

20

Authors

12

Institutions

Publications per year

2017–2026

2

Variants

Jensen-shannon Divergence

Authors

20

  1. BR
    Bernard R. Baum

    Agriculture and Agri-Food Canada, Canada

    2 publications · 22 citations

    2

    h-index

  2. JP
    Joscha Prochno

    Johannes Kepler University of Linz, Austria

    1 publications · 18 citations

    1

    h-index

  3. KL
    Krister Lindén

    University of Helsinki, Finland

    1 publications · 23 citations

    1

    h-index

  4. WG
    Wei Guo

    Yunnan University, China

    1 publications · 12 citations

    1

    h-index

  5. XW
    Xiaolu Wang

    Tsinghua University, China

    1 publications · 12 citations

    1

    h-index

1–5 of 20

Venues

  1. Canadian Journal of Botany

    2 publications · 22 citations

    2

    h-index

  2. The Astrophysical Journal

    ApJ · 1 publications · 18 citations

    1

    h-index

  3. Työväentutkimus Vuosikirja

    1 publications · 23 citations

    1

    h-index

  4. Chinese Physics B

    1 publications · 12 citations

    1

    h-index

  5. Bulletin of the American Mathematical Society

    1 publications · 24 citations

    1

    h-index

1–5