Maximum Entropy Estimation

Maximum Entropy Estimation is a parameter estimation method that selects the probability distribution with the highest entropy subject to a set of constraints derived from the observed data, thereby ensuring minimal assumptions beyond the given information.

1.6K

Publications

123.8K

Citations

4.1K

Authors

1.6K

Institutions

Publications per year

2017–2026

307

Variants

Maxent EstimationMaximum Entropy Method

Authors

4.1K

  1. JS
    John Skilling

    University of Cambridge, United Kingdom

    12 publications · 2K citations

    12

    h-index

  2. AT
    Aldo Tagliani

    University of Trento, Italy

    11 publications · 333 citations

    11

    h-index

  3. BR
    B. Roy Frieden

    University of Arizona, United States

    9 publications · 937 citations

    9

    h-index

  4. AK
    A. K. Livesey

    Université Paris-Sud, France

    8 publications · 1K citations

    8

    h-index

  5. MS
    Makoto Sakata

    Nagoya University, Japan

    8 publications · 241 citations

    8

    h-index

1–5 of 4.1K

Venues

  1. Entropy

    37 publications · 813 citations

    19

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 19 publications · 1.5K citations

    18

    h-index

  3. The Astrophysical Journal

    ApJ · 22 publications · 1.2K citations

    18

    h-index

  4. Monthly Notices of the Royal Astronomical Society

    24 publications · 2.2K citations

    18

    h-index

  5. PLoS ONE

    17 publications · 1.2K citations

    17

    h-index

1–5