Finite-sample Coverage
Finite-Sample Coverage is a statistical property of a credible interval that denotes the actual probability that the interval contains the true parameter value in a given finite sample, as opposed to its asymptotic or nominal coverage.
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3.2K
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122
Authors
72
Institutions
Publications per year
2017–2026
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Distribution-Free Predictive Inference for Regression
Jing Lei, Max G’Sell, Alessandro Rinaldo et al. · Journal of the American Statistical Association · 2017 · 751 citations
Extreme quantile estimation for dependent data, with applications to finance
Holger Drees · Bernoulli · 2003 · 167 citations · Full text
Random Forest Prediction Intervals
Haozhe Zhang, Joshua Zimmerman, Dan Nettleton et al. · The American Statistician · 2019 · 121 citations · Full text
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Tianjin Medical University Cancer Institute and Hospital, China
2 publications · 30 citations
2
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1–5 of 122
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University of California, Berkeley
Berkeley, United States
6 h-index
13 publications
657 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
15 publications
4.3K citations
Yale University
New Haven, United States
3 h-index
5 publications
166 citations

La Trobe University
Melbourne, Australia
3 h-index
4 publications
75 citations
Princeton University
Princeton, United States
3 h-index
5 publications
179 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
6 publications
546 citations
University of Vienna
Vienna, Austria
2 h-index
2 publications
69 citations
Iowa State University
Ames, United States
2 h-index
6 publications
542 citations
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Repository · 8 publications · 164 citations
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7 publications · 1.1K citations
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3 publications · 63 citations
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3 publications · 73 citations
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3 publications · 117 citations
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