Bayesian Regression Diagnostics

Bayesian Regression Diagnostics is a methodological framework within Bayesian statistical analysis that specifically enables the assessment and validation of model assumptions, identification of influential observations, and detection of potential outliers in Bayesian generalized linear models through posterior predictive checks, residual analysis, and sensitivity measures.

16

Publications

677

Citations

31

Authors

23

Institutions

Publications per year

2017–2026

2

Authors

31

  1. VG
    Vicente G. Cancho

    Universidade de São Paulo, Brazil

    3 publications · 117 citations

    3

    h-index

  2. DS
    Dirceu S. Reis

    Fundação Cearense de Meteorologia e Recursos Hídricos, Brazil

    3 publications · 64 citations

    3

    h-index

  3. JR
    Jery R. Stedinger

    Cornell University, United States

    3 publications · 64 citations

    3

    h-index

  4. ES
    Eduardo Sávio Passos Rodrigues Martins

    Fundação Cearense de Meteorologia e Recursos Hídricos, Brazil

    2 publications · 29 citations

    2

    h-index

  5. BR
    Brent R. Moulton

    Bureau of Labor Statistics, United States

    1 publications · 30 citations

    1

    h-index

1–5 of 31

Venues

  1. Statistical Papers

    2 publications · 31 citations

    2

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 1 publications · 14 citations

    1

    h-index

  3. Biometrics

    1 publications · 39 citations

    1

    h-index

  4. 1

    h-index

  5. Water Resources Research

    1 publications · 16 citations

    1

    h-index

1–5