Stationary Bootstrap
Stationary Bootstrap is a resampling method in time series analysis that belongs to the class of bootstrap techniques and specifically differs by preserving the dependency structure of weakly stationary processes through randomly varying block lengths drawn from a geometric distribution.
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5.7K
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73
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60
Institutions
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2017–2026
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Dimitris N. Politis, Joseph P. Romano · Journal of the American Statistical Association · 1994 · 2.4K citations
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Iowa State University
Ames, United States
2 h-index
2 publications
115 citations
The Ohio State University
Columbus, United States
2 h-index
3 publications
614 citations
Stanford University
Stanford, United States
2 h-index
2 publications
2.9K citations
Pomona College
Claremont, United States
2 h-index
2 publications
21 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
2.9K citations
University of California San Diego
San Diego, United States
2 h-index
3 publications
812 citations

Dutch Research Council
The Hague, The Netherlands
1 h-index
1 publications
44 citations

Aarhus University
Aarhus, Denmark
1 h-index
2 publications
42 citations
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3 publications · 103 citations
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3 publications · 2.9K citations
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3 publications · 154 citations
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Repository · 2 publications · 27 citations
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2 publications · 91 citations
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