Jeffreys Priors
Jeffreys Priors is a method of prior specification in Bayesian statistics that defines a non-informative prior distribution based on the square root of the determinant of the Fisher information matrix, ensuring invariance under reparameterization.
155
Publications
18.1K
Citations
258
Authors
159
Institutions
Publications per year
2017–2026
24
155
1–5 of 155
258
King Mongkut's University of Technology North Bangkok, Thailand
5 publications · 128 citations
5
h-index
4
h-index
University of North Carolina at Chapel Hill, United States
4 publications · 245 citations
4
h-index
4
h-index
King Mongkut's University of Technology North Bangkok, Thailand
3 publications · 90 citations
3
h-index
1–5 of 258
159
University of Florida
Gainesville, United States
7 h-index
11 publications
726 citations

University of Toronto
Toronto, Canada
7 h-index
12 publications
1.5K citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
9 publications
3.2K citations
King Mongkut's University of Technology North Bangkok
Bangkok, Thailand
5 h-index
11 publications
308 citations

University of Warwick
Coventry, United Kingdom
5 h-index
7 publications
392 citations
University of Chicago
Chicago, United States
5 h-index
6 publications
1.1K citations
University of Missouri
Columbia, United States
4 h-index
4 publications
204 citations
Columbia University
New York, United States
4 h-index
6 publications
2.9K citations
1–8 of 159
15 publications · 2.5K citations
13
h-index
10 publications · 5.4K citations
10
h-index
9 publications · 828 citations
9
h-index
8 publications · 2.4K citations
8
h-index
5 publications · 149 citations
5
h-index
1–5