Bayesian Choice Modeling
Bayesian Choice Modeling is a statistical modeling framework within mode choice analysis that employs Bayesian inference to estimate parameter distributions by updating prior beliefs with observed behavioral data, thereby capturing uncertainty and heterogeneity in decision-making processes.
90
Publications
6.5K
Citations
207
Authors
142
Institutions
Publications per year
2017–2026
22
Parents
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142
University of Antwerp
Antwerp, Belgium
8 h-index
11 publications
435 citations
KU Leuven
Leuven, Belgium
8 h-index
13 publications
535 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
5 h-index
8 publications
918 citations

University of Groningen
Groningen, The Netherlands
4 h-index
6 publications
649 citations
University of Michigan
Ann Arbor, United States
4 h-index
4 publications
757 citations
SAS Institute (United States)
Cary, United States
4 h-index
4 publications
174 citations
New York University
New York, United States
4 h-index
5 publications
275 citations
University of Washington
Seattle, United States
3 h-index
6 publications
286 citations
1–8 of 142
6 publications · 2K citations
6
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5 publications · 830 citations
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4 publications · 121 citations
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JBES · 3 publications · 142 citations
3
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Repository · 3 publications · 54 citations
3
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1–5