Bayesian Sequential Testing
Bayesian Sequential Testing is a statistical decision framework belonging to the class of sequential analysis methods, distinguished by its incorporation of Bayesian updating to sequentially evaluate hypotheses as data accrue, enabling dynamic termination of experimentation based on posterior probability thresholds.
126
Publications
6.3K
Citations
272
Authors
169
Institutions
Publications per year
2017–2026
20
Parents
126
1–5 of 126
272
4
h-index
4
h-index
University of Illinois Urbana-Champaign, United States
4 publications · 801 citations
4
h-index
3
h-index
3
h-index
1–5 of 272
169
Princeton University
Princeton, United States
6 h-index
10 publications
486 citations
University of Michigan
Ann Arbor, United States
5 h-index
6 publications
151 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
6 publications
188 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
7 publications
276 citations
Steklov Mathematical Institute
Moscow, Russia
3 h-index
4 publications
237 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
3 publications
56 citations
Russian Academy of Sciences
Moscow, Russia
3 h-index
3 publications
86 citations
National University of Singapore
Singapore, Singapore
3 h-index
5 publications
109 citations
1–8 of 169
11 publications · 688 citations
11
h-index
9 publications · 973 citations
9
h-index
8 publications · 539 citations
8
h-index
5 publications · 458 citations
5
h-index
4 publications · 214 citations
4
h-index
1–5