Search Results - "Deng, Linsui"

Model-free, monotone invariant and computationally efficient feature screening with data-adaptive threshold by Deng, Linsui, Zhang, Yilin

“…Feature screening for ultrahigh-dimensional data, in general, proceeds with two essential steps. The first step is measuring and ranking the marginal…”
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Powerful Spatial Multiple Testing via Borrowing Neighboring Information by Deng, Linsui, He, Kejun, Zhang, Xianyang

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Structure-adaptive canonical correlation analysis for microbiome multi-omics data by Deng, Linsui, Tang, Yanlin, Zhang, Xianyang, Chen, Jun

“…Sparse canonical correlation analysis (sCCA) has been a useful approach for integrating different high-dimensional datasets by finding a subset of correlated…”
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Model-Free, Monotone Invariant and Computationally Efficient Feature Screening with Data-adaptive Threshold by Deng, Linsui, Zhang, Yilin

“…Feature screening for ultrahigh-dimension, in general, proceeds with two essential steps. The first step is measuring and ranking the marginal dependence…”
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Joint Mirror Procedure: Controlling False Discovery Rate for Identifying Simultaneous Signals by Deng, Linsui, He, Kejun, Zhang, Xianyang

“…In many applications, the process of identifying a specific feature of interest often involves testing multiple hypotheses for their joint statistical…”
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Powerful Spatial Multiple Testing via Borrowing Neighboring Information by Deng, Linsui, He, Kejun, Zhang, Xianyang

“…Clustered effects are often encountered in multiple hypothesis testing of spatial signals. In this paper, we propose a new method, termed…”
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