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
16
Vicente G. Cancho, Dipak K. Dey, Víctor H. Lachos et al. · Computational Statistics & Data Analysis · 2010 · 56 citations · Full text
Vicente G. Cancho, Edwin M. M. Ortega, Gilberto A. Paula · Journal of Statistical Planning and Inference · 2010 · 45 citations
1–5 of 16
31
3
h-index
Fundação Cearense de Meteorologia e Recursos Hídricos, Brazil
3 publications · 64 citations
3
h-index
3
h-index
Fundação Cearense de Meteorologia e Recursos Hídricos, Brazil
2 publications · 29 citations
2
h-index
1
h-index
1–5 of 31
23
Fundação Cearense de Meteorologia e Recursos Hídricos
Fortaleza, Brazil
3 h-index
7 publications
160 citations
Universidade de São Paulo
São Paulo, Brazil
3 h-index
8 publications
295 citations

Cornell University
Ithaca, United States
3 h-index
7 publications
160 citations
Hollister (United States)
Libertyville, United States
2 h-index
5 publications
109 citations
Universidade de Brasília
Brasília, Brazil
1 h-index
1 publications
16 citations
University of Chicago
Chicago, United States
1 h-index
1 publications
30 citations
University of Connecticut
Storrs, United States
1 h-index
1 publications
56 citations
United States Geological Survey
Reston, United States
1 h-index
1 publications
16 citations
1–8 of 23
2 publications · 31 citations
2
h-index
Repository · 1 publications · 14 citations
1
h-index
1 publications · 39 citations
1
h-index
1 publications · 10 citations
1
h-index
1 publications · 16 citations
1
h-index
1–5