Evidence Estimation

Evidence Estimation is a statistical methodology within Bayesian inference that quantifies the marginal likelihood of observed data under a given model, serving to assess model fit and enable model comparison by integrating over the entire parameter space weighted by the prior distribution.

8

Publications

435

Citations

24

Authors

19

Institutions

Publications per year

2017–2026

6

Variants

Model Evidence Estimation

Authors

24

  1. DB
    Dmitry Bagaev

    Eindhoven University of Technology, Netherlands

    1 publications · 30 citations

    1

    h-index

  2. DY
    Dechang Yang

    China Agricultural University, China

    1 publications · 56 citations

    1

    h-index

  3. İŞ
    İsmai̇l Şenöz

    Eindhoven University of Technology, Netherlands

    1 publications · 30 citations

    1

    h-index

  4. XW
    Xiaowei Wang

    Xi'an Jiaotong University, China

    1 publications · 56 citations

    1

    h-index

  5. GG
    Geetakrishnasai Gunapati

    Aalto University, Finland

    1 publications · 21 citations

    1

    h-index

1–5 of 24

Venues

  1. IEEE Transactions on Smart Grid

    1 publications · 56 citations

    1

    h-index

  2. 1

    h-index

  3. Bayesian Analysis

    1 publications · 126 citations

    1

    h-index

  4. Entropy

    1 publications · 30 citations

    1

    h-index

  5. Arrow@dit (Dublin Institute of Technology)

    Repository · 1 publications · 30 citations

    1

    h-index

1–5