Posterior Intervals

Posterior Intervals is a Bayesian statistical construct that represents a probability interval derived from the posterior distribution, specifying a range within which a parameter lies with a certain credibility based on observed data and prior information.

88

Publications

3.6K

Citations

180

Authors

131

Institutions

Publications per year

2017–2026

31

Authors

180

  1. YM
    Yogesh Mani Tripathi

    Indian Institute of Technology Patna, India

    5 publications · 170 citations

    5

    h-index

  2. RA
    Refah Alotaibi

    Princess Nourah bint Abdulrahman University, Saudi Arabia

    4 publications · 102 citations

    4

    h-index

  3. MK
    Manoj Kumar Rastogi

    Indian Institute of Technology Patna, India

    4 publications · 91 citations

    4

    h-index

  4. DK
    Debasis Kundu

    Indian Institute of Technology Kanpur, India

    3 publications · 117 citations

    3

    h-index

  5. PM
    Patcharee Maneerat

    King Mongkut's University of Technology North Bangkok, Thailand

    3 publications · 75 citations

    3

    h-index

1–5 of 180

Venues

  1. 5

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  2. Journal of Statistical Computation and Simulation

    JSCS · 5 publications · 261 citations

    5

    h-index

  3. 4

    h-index

  4. 4

    h-index

  5. 4

    h-index

1–5