Bayesian Residuals is a statistical construct that quantifies the discrepancy between observed data and their posterior predictive distributions in a Bayesian model, distinguished by its incorporation of parameter uncertainty through the posterior distribution.
14
Publications
568
Citations
61
Authors
39
Institutions
Publications per year
2017–2026
2
Parents
Publications
14
Modeling residual hydrologic errors with Bayesian inference
T. J. Smith, Lucy Marshall, Ashish Sharma · Journal of Hydrology · 2015 · 122 citations
Computing, Earth Sciences, Hydrology +14
1–5 of 14
Authors
61
- JA
2
h-index
- SC
2
h-index
- MC
1
h-index
- TC
1
h-index
- JS
1
h-index
1–5 of 61
Institutions
39
Bowling Green State University
Bowling Green, United States
2 h-index
2 publications
145 citations
Washington University in St. Louis
St Louis, United States
2 h-index
2 publications
145 citations
Center for Astrophysics Harvard & Smithsonian
Cambridge, United States
1 h-index
1 publications
17 citations
Korea Astronomy and Space Science Institute
Daejeon, South Korea
1 h-index
13 publications
221 citations
University of California, Davis
Davis, United States
1 h-index
1 publications
17 citations
Shanghai Tunnel Engineering Rail Transit Design & Research Institute
Shanghai, China
1 h-index
1 publications
37 citations
University of Oregon
Eugene, United States
1 h-index
3 publications
39 citations
University of Connecticut
Storrs, United States
1 h-index
3 publications
39 citations
1–8 of 39
Venues
- Biometrika
2 publications · 145 citations
2
h-index
- Journal of Ethnopharmacology
1 publications · 10 citations
1
h-index
- Applied Stochastic Models in Business and Industry
1 publications · 30 citations
1
h-index
- Public Health Reports
PHR · 1 publications · 30 citations
1
h-index
- Statistical Papers
1 publications · 15 citations
1
h-index
1–5