Robust Semiparametric Estimation
Robust Semiparametric Estimation is a semiparametric inference method that combines parametric modeling of key relationships with nonparametric flexibility in nuisance components while maintaining validity and efficiency under model misspecification, outliers, or deviations from distributional assumptions.
80
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4.9K
Citations
158
Authors
116
Institutions
Publications per year
2017–2026
22
Parents
80
High-dimensional semiparametric Gaussian copula graphical models
Han Liu, Fang Han, Ming Yuan et al. · The Annals of Statistics · 2012 · 538 citations
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Harvard University
Cambridge, United States
7 h-index
10 publications
492 citations
Princeton University
Princeton, United States
5 h-index
11 publications
2.9K citations

Harvard University Press
Cambridge, United States
5 h-index
5 publications
181 citations
Universidad de Buenos Aires
Buenos Aires, Argentina
4 h-index
9 publications
230 citations
National Institutes of Health
Bethesda, United States
4 h-index
6 publications
143 citations

East China Normal University
Shanghai, China
3 h-index
10 publications
1K citations
Cancer Research And Biostatistics
Seattle, United States
3 h-index
4 publications
222 citations
North Carolina State University
Raleigh, United States
3 h-index
4 publications
106 citations
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9 publications · 378 citations
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6 publications · 476 citations
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5 publications · 797 citations
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4 publications · 99 citations
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JSCS · 3 publications · 37 citations
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