Parameter Inference

Parameter Inference is a statistical methodology within the broader class of parameter estimation techniques that specifically involves deriving plausible values or distributions of unknown model parameters based on observed data and a specified probabilistic model.

1K

Publications

130.6K

Citations

2.6K

Authors

980

Institutions

Publications per year

2017–2026

301

Authors

2.6K

  1. DA
    D. A. S. Fraser

    University of Toronto, Canada

    10 publications · 532 citations

    10

    h-index

  2. RO
    R. O’Shaughnessy

    Rochester Institute of Technology, United States

    8 publications · 293 citations

    8

    h-index

  3. MP
    Michael P. H. Stumpf

    Imperial College London, United Kingdom

    7 publications · 2K citations

    7

    h-index

  4. NR
    Nancy Reid

    University of Toronto, Canada

    6 publications · 1.7K citations

    6

    h-index

  5. RA
    Ronald Aylmer Fisher

    University of Cambridge, United Kingdom

    5 publications · 2.9K citations

    5

    h-index

1–5 of 2.6K

Venues

  1. Journal of the American Statistical Association

    47 publications · 3.6K citations

    29

    h-index

  2. Biometrika

    36 publications · 5.1K citations

    24

    h-index

  3. 18

    h-index

  4. arXiv (Cornell University)

    Repository · 33 publications · 978 citations

    17

    h-index

  5. Technometrics

    22 publications · 4.2K citations

    17

    h-index

1–5