Studentized Bootstrap

Studentized Bootstrap is a resampling methodology in statistical inference that belongs to the class of bootstrap techniques and specifically involves the use of studentized (or t-statistic–based) pivot quantities to construct confidence intervals, thereby improving coverage accuracy by accounting for the variability of the estimator in a data-driven manner.

76

Publications

6.9K

Citations

104

Authors

77

Institutions

Publications per year

2017–2026

9

Variants

Bootstrap-tBootstrap-t Method

Authors

104

  1. PH
    Peter Hall

    Australian National University, Australia

    5 publications · 243 citations

    5

    h-index

  2. DV
    D. V. Hinkley

    The University of Texas at Austin, United States

    4 publications · 507 citations

    4

    h-index

  3. SN
    Soumendra N. Lahiri

    Iowa State University, United States

    4 publications · 134 citations

    4

    h-index

  4. AC
    A. C. Davison

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 307 citations

    3

    h-index

  5. GA
    G. A. Young

    University of Cambridge, United Kingdom

    3 publications · 341 citations

    3

    h-index

1–5 of 104

Venues

  1. The Annals of Statistics

    11 publications · 922 citations

    11

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  2. Statistical Science

    6 publications · 904 citations

    6

    h-index

  3. Technometrics

    5 publications · 452 citations

    5

    h-index

  4. Biometrika

    5 publications · 211 citations

    5

    h-index

  5. 5

    h-index

1–5