Sieve Estimation is a semiparametric estimation method that approximates an unknown functional parameter by projecting it onto a sequence of finite-dimensional function spaces, or "sieves," which expand to encompass the full parameter space as the sample size increases.
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2017–2026
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Publications
74
Sieve Bootstrap for Time Series
Peter Bühlmann, Peter Bühlmann · Bernoulli · 1997 · 476 citations
Convergence Rate of Sieve Estimates
Xiaotong Shen, Wing Hung Wong · The Annals of Statistics · 1994 · 369 citations · Full text
A large sieve density estimate near ?=1
P. X. Gallagher · Inventiones mathematicae · 1970 · 276 citations
1–5 of 74
Authors
121
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1–5 of 121
Institutions
81
University of Iowa
Iowa City, United States
4 h-index
4 publications
322 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
4 publications
84 citations
University of Toronto
Toronto, Canada
3 h-index
4 publications
65 citations
University of California San Diego
San Diego, United States
3 h-index
4 publications
117 citations
Singapore Management University
Singapore, Singapore
3 h-index
6 publications
402 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
64 citations
University of Rochester
Rochester, United States
2 h-index
6 publications
378 citations
Yale University
New Haven, United States
2 h-index
2 publications
320 citations
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Venues
- The Annals of Statistics
11 publications · 794 citations
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- Journal of Econometrics
7 publications · 229 citations
7
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- Acta Arithmetica
4 publications · 264 citations
4
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- Bernoulli
3 publications · 838 citations
3
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- Journal of Multivariate Analysis
3 publications · 54 citations
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