Stacking Of Predictive Distributions
Stacking of Predictive Distributions is a model combination method that belongs to the class of ensemble learning techniques, distinguished by its optimization of predictive performance through the weighted aggregation of Bayesian predictive distributions, where weights are selected to maximize cross-validated expected utility.
4
Publications
578
Citations
8
Authors
6
Institutions
Publications per year
2017–2026
4
Variants
Bayesian Stacking
Parents
4
Bayesian Model Weighting: The Many Faces of Model Averaging
Marvin Höge, Anneli Guthke, Wolfgang Nowak · Water · 2020 · 18 citations · Full text
1–5 of 4
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Swiss Federal Institute of Aquatic Science and Technology, Switzerland
1 publications · 18 citations
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1
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1–5 of 8
6
Heidelberg Institute for Theoretical Studies
Heidelberg, Germany
1 h-index
1 publications
65 citations

GITAM University
Visakhapatnam, India
1 h-index
1 publications
14 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
1 h-index
1 publications
65 citations

University of Debrecen
Debrecen, Hungary
1 h-index
1 publications
65 citations
University of Stuttgart
Stuttgart, Germany
1 h-index
3 publications
54 citations

Andhra University
Visakhapatnam, India
1 h-index
2 publications
28 citations
Arizona State University
Tempe, United States
1 publications
13 citations
University of California, Santa Cruz
Santa Cruz, United States
1 publications
13 citations
1–8 of 6
1 publications · 481 citations
1
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1 publications · 65 citations
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1 publications · 18 citations
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1 publications · 14 citations
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ApJ · 1 publications · 13 citations
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