Bayesian Likelihood Estimation
Bayesian Likelihood Estimation is a statistical inference method that belongs to the class of likelihood estimation techniques, distinguished by its incorporation of prior probability distributions to update the likelihood of model parameters through Bayes' theorem.
95
Publications
12.5K
Citations
269
Authors
162
Institutions
Publications per year
2017–2026
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University of Oxford
Oxford, United Kingdom
5 h-index
10 publications
301 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
5 publications
173 citations
Stanford University
Stanford, United States
4 h-index
4 publications
287 citations

McMaster University
Hamilton, Canada
4 h-index
7 publications
343 citations

Wingate Institute
Netanya, Israel
4 h-index
7 publications
99 citations
University of California, Irvine
Irvine, United States
4 h-index
5 publications
201 citations
European Central Bank
Frankfurt am Main, Germany
4 h-index
8 publications
6.7K citations
National Radio Astronomy Observatory
Charlottesville, United States
4 h-index
4 publications
124 citations
1–8 of 162
7 publications · 363 citations
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ApJ · 6 publications · 516 citations
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Repository · 6 publications · 1.9K citations
6
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5 publications · 634 citations
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2 publications · 93 citations
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