Laplace Approximation
Laplace Approximation is a method in Bayesian statistics that approximates a posterior distribution by fitting a Gaussian distribution centered at the mode of the posterior, with precision determined by the curvature of the log-posterior density.
533
Publications
44.7K
Citations
1.2K
Authors
660
Institutions
Publications per year
2017–2026
182
533
Bayesian Spatial Modelling with<i>R</i>-<b>INLA</b>
Finn Lindgren, Håvard Rue · Journal of Statistical Software · 2015 · 1.1K citations · Full text
Variational free energy and the Laplace approximation
Karl Friston, Jérémie Mattout, Nelson J. Trujillo‐Barreto et al. · NeuroImage · 2006 · 952 citations
1–5 of 533
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660
Norwegian University of Science and Technology
Trondheim, Norway
17 h-index
28 publications
13.7K citations
University of Oxford
Oxford, United Kingdom
12 h-index
16 publications
826 citations
University College London
London, United Kingdom
11 h-index
34 publications
11.2K citations
University of Cambridge
Cambridge, United Kingdom
11 h-index
16 publications
586 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
10 h-index
18 publications
796 citations
Technical University of Denmark
Kongens Lyngby, Denmark
10 h-index
24 publications
1K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
17 publications
1.5K citations
KU Leuven
Leuven, Belgium
8 h-index
13 publications
844 citations
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Repository · 24 publications · 1.2K citations
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15 publications · 1.3K citations
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JCGS · 12 publications · 884 citations
12
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14 publications · 856 citations
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10 publications · 455 citations
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