基本信息
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职业迁徙
个人简介
My main research area is statistical theory and methodology, including:
Analyzing statistical properties of some popular methods and algorithms in machine learning and engineering, such as the particle filter, spectral clustering, and sparse PCA;
Developing new statistical methods that are suitable for high-dimensional, complex data, including dimension reduction, regression, clustering, hypothesis testing, etc;
Understanding the meaning and properties of relevant concepts and methods in related fields from a statistical perspective, such as data privacy, data assimilation, and conformal prediction. These insights will usually lead to useful improvements or modifications.
Analyzing statistical properties of some popular methods and algorithms in machine learning and engineering, such as the particle filter, spectral clustering, and sparse PCA;
Developing new statistical methods that are suitable for high-dimensional, complex data, including dimension reduction, regression, clustering, hypothesis testing, etc;
Understanding the meaning and properties of relevant concepts and methods in related fields from a statistical perspective, such as data privacy, data assimilation, and conformal prediction. These insights will usually lead to useful improvements or modifications.
研究兴趣
论文共 79 篇作者统计合作学者相似作者
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arxiv(2024)
arxiv(2024)
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BIOMETRICSno. 1 (2024)
arxiv(2024)
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arXiv (Cornell University) (2023)
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arxiv(2023)
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JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATIONpp.1-20, (2023)
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D-Core
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