Bayesian Interval Estimation
Bayesian Interval Estimation is a statistical inference method that determines a range of credible values for an unknown parameter by applying Bayes' theorem to update prior beliefs with observed data, thereby distinguishing itself from frequentist interval estimation through its explicit incorporation of prior knowledge and probabilistic interpretation of parameters.
178
Publications
10.4K
Citations
380
Authors
234
Institutions
Publications per year
2017–2026
44
Parents
178
1–5 of 178
380
4
h-index
King Mongkut's University of Technology North Bangkok, Thailand
4 publications · 69 citations
4
h-index
The University of Texas MD Anderson Cancer Center, United States
4 publications · 695 citations
4
h-index
3
h-index
3
h-index
1–5 of 380
234
King Mongkut's University of Technology North Bangkok
Bangkok, Thailand
6 h-index
15 publications
375 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
5 h-index
12 publications
1.5K citations
Princeton University
Princeton, United States
4 h-index
9 publications
3K citations
Iowa State University
Ames, United States
4 h-index
4 publications
101 citations
Stanford University
Stanford, United States
4 h-index
4 publications
287 citations

University of British Columbia
Vancouver, Canada
3 h-index
2 publications
149 citations
University of Florida
Gainesville, United States
3 h-index
4 publications
205 citations
University of Washington
Seattle, United States
3 h-index
3 publications
94 citations
1–8 of 234
12 publications · 583 citations
11
h-index
JSCS · 9 publications · 212 citations
9
h-index
8 publications · 399 citations
8
h-index
8 publications · 381 citations
8
h-index
7 publications · 255 citations
8
h-index
1–5