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HYPOTHESIS TESTING FOR HIGH-DIMENSIONAL SPARSE BINARY REGRESSION

In this paper, we study the detection boundary for minimax hypothesis testing in the context of high-dimensional, sparse binary regression models. Motivated by genetic sequencing association studies for rare variant effects, we investigate the complexity of the hypothesis testing problem when the de...

詳細記述

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書誌詳細
出版年:Ann Stat
主要な著者: Mukherjee, Rajarshi, Pillai, Natesh S., Lin, Xihong
フォーマット: Artigo
言語:Inglês
出版事項: 2015
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4522432/
https://ncbi.nlm.nih.gov/pubmed/26246645
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/14-AOS1279
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