Concepedia

Always Valid Confidence Intervals

Always Valid Confidence Intervals is a statistical inference method that belongs to the class of sequential testing procedures, distinguished by its ability to provide uniformly valid confidence intervals over time without requiring a priori specification of the sample size or stopping rules.

2

Publications

99

Citations

5

Authors

1

Institutions

Publications per year

2017–2026

1

Parents

Publications

2

1–2 of 2

Authors

5

  1. RJ
    Ramesh Johari

    Stanford University, United States

    2 publications · 99 citations

    2

    h-index

  2. DW
    David Walsh

    Stanford University, United States

    2 publications · 99 citations

    2

    h-index

  3. LP
    Leonid Pekelis

    Stanford University, United States

    1 publications · 49 citations

    1

    h-index

  4. LP
    Leo Pekelis

    Stanford University, United States

    1 publications · 50 citations

    1

    h-index

  5. PK
    Pete Koomen

    Stanford University, United States

    1 publications · 49 citations

    1

    h-index

1–5 of 5

Institutions

1

  1. Stanford University

    Stanford, United States

    2 h-index

    3 publications

    149 citations

1–1 of 1

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 50 citations

    1

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  2. Operations Research

    1 publications · 49 citations

    1

    h-index

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