Probabilistic Modeling is a mathematical framework within uncertainty quantification that characterizes uncertain parameters and their propagation through models using probability distributions to assess the likelihood of possible outcomes.
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Sebastian Thrun · Communications of the ACM · 2002 · 8K citations
Describing Uncertainty in Single Sample Experiments
S. J. Kline · Mechanical Engineering · 1953 · 6.6K citations
Computing, Mathematics, Statistics +11
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Stanford University
Stanford, United States
61 h-index
225 publications
27.1K citations
Centre National de la Recherche Scientifique
Paris, France
46 h-index
242 publications
12.4K citations
University of California, Berkeley
Berkeley, United States
45 h-index
156 publications
18.6K citations
Tsinghua University
Beijing, China
42 h-index
164 publications
10.3K citations
Delft University of Technology
Delft, The Netherlands
39 h-index
153 publications
11.7K citations
Massachusetts Institute of Technology
Cambridge, United States
37 h-index
154 publications
9.7K citations
National University of Singapore
Singapore, Singapore
37 h-index
97 publications
5.6K citations
University of Maryland, College Park
College Park, United States
37 h-index
117 publications
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286 publications · 24.3K citations
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153 publications · 25.8K citations
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140 publications · 14.3K citations
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- Journal of the American Statistical Association
137 publications · 25.7K citations
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- Risk Analysis
136 publications · 11.9K citations
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