Credible Interval Estimation

Credible Interval Estimation is a Bayesian interval estimation method that quantifies the uncertainty of a parameter by specifying a posterior probability interval within which the parameter lies with a given probability, distinguishing it from frequentist confidence intervals by incorporating prior knowledge and yielding directly interpretable probabilistic statements about the parameter.

201

Publications

13.7K

Citations

2.2K

Authors

594

Institutions

Publications per year

2017–2026

86

Authors

2.2K

  1. DK
    Debasis Kundu

    Indian Institute of Technology Kanpur, India

    6 publications · 730 citations

    6

    h-index

  2. WG
    Wenhao Gui

    Beijing Jiaotong University, China

    5 publications · 99 citations

    5

    h-index

  3. SD
    Sanku Dey

    Zagazig University, Egypt

    4 publications · 203 citations

    4

    h-index

  4. EM
    Ehab M. Almetwally

    Delta University for Science and Technology, Egypt

    3 publications · 56 citations

    3

    h-index

  5. AA
    Ahmed A. Soliman

    Sohag University, Egypt

    3 publications · 67 citations

    3

    h-index

1–5 of 2.2K

Venues

  1. Journal of Statistical Computation and Simulation

    JSCS · 9 publications · 290 citations

    9

    h-index

  2. 5

    h-index

  3. 5

    h-index

  4. PLoS ONE

    5 publications · 315 citations

    5

    h-index

  5. Statistics in Medicine

    4 publications · 334 citations

    4

    h-index

1–5