Anytime-valid Inference
Anytime-Valid Inforce Inference is a statistical inference framework that, unlike conventional methods requiring fixed sample sizes or predetermined stopping rules, enables valid hypothesis testing and confidence interval construction at any data-dependent stopping time, thereby maintaining type-I error control and coverage guarantees under optional continuation or early stopping.
3
Publications
135
Citations
7
Authors
6
Institutions
Publications per year
2017–2026
3
Parents
3
Game-Theoretic Statistics and Safe Anytime-Valid Inference
Aaditya Ramdas, Peter Grünwald, Vladimir Vovk et al. · Statistical Science · 2023 · 85 citations · Full text
1–3 of 3
7
3
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 7
6
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
2 h-index
2 publications
115 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
145 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
85 citations
Leiden University
Leiden, The Netherlands
1 h-index
1 publications
85 citations

Royal Holloway University of London
Egham, United Kingdom
1 h-index
1 publications
85 citations
London School of Economics and Political Science
London, United Kingdom
1 h-index
1 publications
30 citations
1–6 of 6
Repository · 2 publications · 50 citations
2
h-index
1 publications · 85 citations
1
h-index
1–2