Bi-Gaussian Mirrors introduces a computationally efficient method for FDR control in high-dimensional settings with dependencies, backed by theoretical guarantees and empirical outperformance.
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This review synthesizes representative advances in high-dimensional statistics, highlights common themes and open problems, and points to key entry works.
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Bi-Gaussian Mirrors for False Discovery Rate Control
Bi-Gaussian Mirrors introduces a computationally efficient method for FDR control in high-dimensional settings with dependencies, backed by theoretical guarantees and empirical outperformance.
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High-Dimensional Statistics: Reflections on Progress and Open Problems
This review synthesizes representative advances in high-dimensional statistics, highlights common themes and open problems, and points to key entry works.