Pairs Bootstrap is a resampling technique in statistical inference where the basic unit of sampling is a pair of jointly observed predictor and response variables, preserving their empirical relationship by resampling with replacement from the original set of data pairs to estimate the sampling distribution of a regression estimator.
14
Publications
5.9K
Citations
16
Authors
24
Institutions
Publications per year
2017–2026
2
Variants
Pair Bootstrap
Parents
Publications
14
1–5 of 14
Authors
16
- EF
3
h-index
- AC
3
h-index
- JB
3
h-index
- DL
3
h-index
- PH
2
h-index
1–5 of 16
Institutions
24
University of California, Davis
Davis, United States
3 h-index
7 publications
10.4K citations
University of Nebraska–Lincoln
Lincoln, United States
2 h-index
2 publications
110 citations
University of Arizona
Tucson, United States
2 h-index
4 publications
4.5K citations
Aix-Marseille Sciences Economiques
Marseille, France
2 h-index
2 publications
182 citations
University of Iowa
Iowa City, United States
2 h-index
3 publications
136 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
1.5K citations
Osaka University of Economics
Osaka, Japan
1 h-index
1 publications
14 citations
Lawrence Berkeley National Laboratory
Berkeley, United States
1 h-index
1 publications
957 citations
1–8 of 24
Venues
- SSRN Electronic Journal
Repository · 2 publications · 983 citations
2
h-index
- Journal of the American Statistical Association
2 publications · 260 citations
2
h-index
- National Bureau of Economic Research
Repository · 1 publications · 187 citations
1
h-index
- Biometrika
1 publications · 34 citations
1
h-index
- The Review of Economics and Statistics
1 publications · 4K citations
1
h-index
1–5