Permutation-based Inference

Permutation-Based Inference is a statistical inference method that assesses the significance of observed effects by comparing the empirical test statistic to its distribution under all possible rearrangements of the data labels, assuming exchangeability under the null hypothesis.

189

Publications

21.7K

Citations

447

Authors

254

Institutions

Publications per year

2017–2026

60

Authors

447

  1. LS
    Luigi Salmaso

    University of Padua, Italy

    6 publications · 146 citations

    6

    h-index

  2. MP
    Markus Pauly

    TU Dortmund University, Germany

    6 publications · 194 citations

    6

    h-index

  3. TE
    Thomas E. Nichols

    University of Oxford, United Kingdom

    5 publications · 4.5K citations

    5

    h-index

  4. PW
    Paul W. Mielke

    Colorado State University, United States

    5 publications · 392 citations

    5

    h-index

  5. FP
    Fortunato Pesarin

    University of Padua, Italy

    5 publications · 137 citations

    5

    h-index

1–5 of 447

Venues

  1. 7

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  2. 7

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  3. arXiv (Cornell University)

    Repository · 6 publications · 131 citations

    6

    h-index

  4. NeuroImage

    6 publications · 4.5K citations

    6

    h-index

  5. 6

    h-index

1–5