Approximation Error
Approximation Error is the error attributable to the discrepancy between the true underlying function and the closest representable function within a prescribed hypothesis space, arising from model assumptions or structural limitations that prevent perfect fit to the target function.
2.6K
Publications
155.3K
Citations
5.3K
Authors
1.6K
Institutions
Publications per year
2017–2026
670
2.6K
Bayesian Inference in Econometric Models Using Monte Carlo Integration
John Geweke · Econometrica · 1989 · 1.6K citations
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ETH Zurich
Zurich, Switzerland
26 h-index
59 publications
3.5K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
24 h-index
55 publications
5K citations
Massachusetts Institute of Technology
Cambridge, United States
24 h-index
80 publications
9.8K citations

Centre National de la Recherche Scientifique
Paris, France
20 h-index
83 publications
3.2K citations
University of California, Berkeley
Berkeley, United States
19 h-index
36 publications
2.4K citations
Stanford University
Stanford, United States
19 h-index
41 publications
4.2K citations
National University of Singapore
Singapore, Singapore
19 h-index
43 publications
4.4K citations
Princeton University
Princeton, United States
18 h-index
35 publications
1.9K citations
1–8 of 1.6K
80 publications · 4.1K citations
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MCOM · 65 publications · 3.7K citations
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Repository · 128 publications · 5.8K citations
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44 publications · 2.3K citations
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27 publications · 5.2K citations
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