Bayesian Absorption Modeling
Bayesian Absorption Modeling is a statistical modeling framework that integrates prior knowledge and observed data through Bayesian inference to estimate absorption processes, distinguished by its probabilistic representation of uncertainty in absorption parameters and dynamics.
3
Publications
53
Citations
11
Authors
9
Institutions
Publications per year
2017–2026
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Technical University of Denmark
Kongens Lyngby, Denmark
1 h-index
2 publications
44 citations
Rensselaer Polytechnic Institute
Troy, United States
1 h-index
4 publications
76 citations
Kumamoto Industrial Research Institute
Kumamoto, Japan
1 h-index
1 publications
12 citations
National Institute for Materials Science
Tsukuba, Japan
1 h-index
1 publications
12 citations

Kumamoto University
Kumamoto, Japan
1 h-index
2 publications
24 citations
Graz University of Technology
Graz, Austria
1 h-index
1 publications
22 citations
The University of Tokyo
Tokyo, Japan
1 h-index
1 publications
12 citations
Ørsted (Denmark)
Fredericia, Denmark
1 h-index
2 publications
44 citations
1–8 of 9
JASA · 2 publications · 41 citations
2
h-index
1 publications · 12 citations
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MSSP · 1 publications · 14 citations
1 publications · 13 citations
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