Likelihood-based Calibration
Likelihood-Based Calibration is a model calibration method that belongs to the class of likelihood-based inference techniques, distinguished by its use of the likelihood function to assess and adjust the agreement between model predictions and observed data under uncertainty.
13
Publications
551
Citations
42
Authors
24
Institutions
Publications per year
2017–2026
1
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A daily-updated tree of (sequenced) life as a reference for genome research
Hai Fang, Matt E. Oates, Ralph Pethica et al. · Scientific Reports · 2013 · 58 citations · Full text
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Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
6 publications
93 citations
Heidelberg Institute for Theoretical Studies
Heidelberg, Germany
1 h-index
1 publications
58 citations

University of Oslo
Oslo, Norway
1 h-index
1 publications
39 citations
Grand Accélérateur National d'Ions Lourds
Caen, France
1 h-index
2 publications
36 citations
Université de Montréal
Montreal, Canada
1 h-index
1 publications
27 citations
Gaziantep University
Gaziantep, Türkiye
1 h-index
1 publications
88 citations
University of Delaware
Newark, United States
1 h-index
1 publications
18 citations

University of Bristol
Bristol, United Kingdom
1 h-index
9 publications
522 citations
1–8 of 24
1 publications · 12 citations
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1 publications · 18 citations
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1 publications · 58 citations
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1 publications · 88 citations
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1 publications · 21 citations
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