Bayesian Order Statistics

Bayesian Order Statistics is a statistical framework that integrates Bayesian inference with the analysis of order statistics by treating the ordering of random variables as part of a posterior distribution derived from prior beliefs and observed data.

40

Publications

1.6K

Citations

75

Authors

57

Institutions

Publications per year

2017–2026

7

Authors

75

  1. NB
    N. Balakrishnan

    McMaster University, Canada

    3 publications · 53 citations

    3

    h-index

  2. AT
    A. Thomas

    Carleton University, Canada

    2 publications · 40 citations

    2

    h-index

  3. JA
    Jafar Ahmadi

    Ferdowsi University of Mashhad, Iran

    2 publications · 26 citations

    2

    h-index

  4. GM
    Gauss M. Cordeiro

    Universidade Federal de Pernambuco, Brazil

    2 publications · 120 citations

    2

    h-index

  5. BJ
    B. John Oommen

    Carleton University, Canada

    2 publications · 40 citations

    2

    h-index

1–5 of 75

Venues

  1. Annals of Data Science

    3 publications · 45 citations

    3

    h-index

  2. Journal of Statistical Computation and Simulation

    JSCS · 3 publications · 174 citations

    3

    h-index

  3. Journal of Statistical Planning and Inference

    3 publications · 118 citations

    3

    h-index

  4. 3

    h-index

  5. Journal of Multivariate Analysis

    2 publications · 154 citations

    2

    h-index

1–5