Credible Interval Construction

Credible Interval Construction is a statistical methodology that specifies the procedures and principles for deriving a credible interval—a range of values within which an unknown parameter value is believed to lie with a prescribed probability—by explicitly incorporating prior information and posterior distribution characteristics to quantify epistemic uncertainty in Bayesian inference.

86

Publications

2.9K

Citations

246

Authors

157

Institutions

Publications per year

2017–2026

22

Authors

246

  1. AA
    Ahmed A. Soliman

    Sohag University, Egypt

    3 publications · 67 citations

    3

    h-index

  2. MM
    M.A.W. Mahmoud

    Al-Azhar University, Egypt

    2 publications · 32 citations

    2

    h-index

  3. WQ
    William Q. Meeker

    Iowa State University, United States

    2 publications · 51 citations

    2

    h-index

  4. DK
    Debasis Kundu

    Indian Institute of Technology Kanpur, India

    2 publications · 183 citations

    2

    h-index

  5. AV
    Aad van der Vaart

    Vrije Universiteit Amsterdam, Netherlands

    2 publications · 99 citations

    2

    h-index

1–5 of 246

Venues

  1. Journal of Statistical Planning and Inference

    5 publications · 153 citations

    5

    h-index

  2. The Annals of Statistics

    4 publications · 86 citations

    4

    h-index

  3. 3

    h-index

  4. BMC Medical Research Methodology

    3 publications · 105 citations

    3

    h-index

  5. Journal of Modern Applied Statistical Methods

    JMASM · 3 publications · 62 citations

    3

    h-index

1–5