Confidence Sequences

Confidence Sequences is a statistical method that provides a sequence of confidence intervals for a parameter of interest, constructed to hold simultaneous coverage over time with prescribed probability, thereby enabling valid inference at arbitrary stopping times in sequential experiments.

17

Publications

649

Citations

25

Authors

25

Institutions

Publications per year

2017–2026

11

Authors

25

  1. AR
    Aaditya Ramdas

    Carnegie Mellon University, United States

    7 publications · 291 citations

    7

    h-index

  2. TL
    Tze Leung Lai

    Stanford University, United States

    3 publications · 98 citations

    3

    h-index

  3. SR
    Steven R. Howard

    Walter Reed National Military Medical Center, United States

    2 publications · 57 citations

    2

    h-index

  4. ML
    Martin Larsson

    ETH Zurich, Switzerland

    2 publications · 50 citations

    2

    h-index

  5. WM
    Wouter M. Koolen

    Centrum Wiskunde & Informatica, Netherlands

    2 publications · 50 citations

    2

    h-index

1–5 of 25

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 69 citations

    3

    h-index

  2. The Annals of Statistics

    2 publications · 161 citations

    2

    h-index

  3. Stochastic Processes and their Applications

    1 publications · 18 citations

    1

    h-index

  4. Sequential Analysis

    1 publications · 20 citations

    1

    h-index

  5. 1

    h-index

1–5