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个人简介
Dr. Zeng is an expert on modern empirical process theory and semiparametric efficiency theory. He has made important contributions to survival analysis, causal inference, missing data, semiparametric models, statistical genetics, personalized medicine, machine learning and high-dimensional data.
He has published over 100 papers, most of which have appeared in first-tier statistical journals. Dr. Zeng is a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics.
He has published over 100 papers, most of which have appeared in first-tier statistical journals. Dr. Zeng is a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics.
研究兴趣
论文共 448 篇作者统计合作学者相似作者
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Statistica Sinica (2025)
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Statistics in medicineno. 7 (2024): 1397-1418
CoRR (2024)
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Biometricsno. 1 (2024)
Biometricsno. 1 (2024)
arxiv(2024)
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arXiv (Cornell University) (2023)
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arxiv(2023)
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The New England journal of medicineno. 8 (2023): 764-766
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