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Theory and Methods

Estimating False Discovery Proportion Under Arbitrary Covariance Dependence

Jianqing Fan Department of Operations Research & Financial Engineering, Princeton University, Princeton, NJ, 08544, USA; School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, China
,
Xu Han Department of Statistics, Fox Business School, Temple University, Philadelphia, PA, 19122
&
Weijie Gu Department of Operations Research & Financial Engineering, Princeton University, Princeton, NJ, 08544, USA
Pages 1019-1035 | Received 01 Nov 2010, Published online: 08 Oct 2012

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Crossref
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Crossref
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Crossref
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Crossref
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Crossref
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Crossref
Debashis Ghosh & Santhosh Girirajan. 2014. Statistical Analysis of Next Generation Sequencing Data. Statistical Analysis of Next Generation Sequencing Data 405 422 .
T. P. Garcia, S. Muller, R. J. Carroll, T. N. Dunn, A. P. Thomas, S. H. Adams, S. D. Pillai & R. L. Walzem. (2013) Structured variable selection with q-values. Biostatistics 14:4, pages 695-707.
Crossref
Tian Ge, Gunter Schumann & Jianfeng Feng. (2013) Imaging genetics — towards discovery neuroscience. Quantitative Biology 1:4, pages 227-245.
Crossref
Eric Bair. (2013) Identification of significant features in DNA microarray data . WIREs Computational Statistics 5:4, pages 309-325.
Crossref
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Andrew Y. Chen. (2018) The Limits of Data Mining: A Thought Experiment. SSRN Electronic Journal.
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Crossref
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Crossref

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