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Found 2 papers, 1 papers with code
Multiple Testing of Linear Forms for Noisy Matrix Completion
Many important tasks of large-scale recommender systems can be naturally cast as testing multiple linear forms for noisy matrix completion.
False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation
We develop a new class of distribution--free multiple testing rules for false discovery rate (FDR) control under general dependence.
Methodology Statistics Theory Statistics Theory
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