Bayesian Calibration
Bayesian Calibration is a statistical inference method that employs Bayesian updating to estimate the posterior distribution of model parameters by systematically adjusting them to reconcile discrepancies between model predictions and observed data while accounting for uncertainties in both.
662
Publications
58K
Citations
2.3K
Authors
854
Institutions
Publications per year
2017–2026
282
662
Bayesian Analysis of Radiocarbon Dates
Christopher Bronk Ramsey · Radiocarbon · 2009 · 8.7K citations · Full text
Natural Sciences, Earth Sciences, Bayesian Data Analysis +14
Development of the Radiocarbon Calibration Program
Christopher Bronk Ramsey · Radiocarbon · 2001 · 2K citations · Full text
SHCal20 Southern Hemisphere Calibration, 0–55,000 Years cal BP
Alan Hogg, Timothy Heaton, Quan Hua et al. · Radiocarbon · 2020 · 1.4K citations · Full text
1–5 of 662
2.3K
10
h-index
10
h-index
10
h-index
10
h-index
10
h-index
1–5 of 2.3K
854
University of Oxford
Oxford, United Kingdom
16 h-index
28 publications
11.9K citations
Los Alamos National Laboratory
Los Alamos, United States
13 h-index
38 publications
1.7K citations

University of Oslo
Oslo, Norway
13 h-index
150 publications
2.9K citations
University College London
London, United Kingdom
13 h-index
21 publications
2.2K citations

University of Helsinki
Helsinki, Finland
13 h-index
35 publications
1.3K citations
Harvard University
Cambridge, United States
13 h-index
20 publications
1.6K citations

Centre National de la Recherche Scientifique
Paris, France
12 h-index
27 publications
1K citations
The University of Texas at Austin
Austin, United States
12 h-index
34 publications
2.1K citations
1–8 of 854
27 publications · 3K citations
25
h-index
19 publications · 2K citations
18
h-index
Repository · 16 publications · 765 citations
13
h-index
14 publications · 303 citations
13
h-index
9 publications · 687 citations
9
h-index
1–5