Optimal Screening and Discovery of Sparse Signals with Applications to Multistage High Throughput Studies

DOI10.1111/rssb.12171zbMath1414.62042OpenAlexW2316374050MaRDI QIDQ5378161

Wenguang Sun

Publication date: 12 June 2019

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/rssb.12171

zbMATH Keywords

phase transitiondata screeningfalse discovery ratehigh throughput screeningfalse negative ratediscovery boundarymultistage adaptive testingscreening boundary

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13) Sequential statistical analysis (62L10) Paired and multiple comparisons; multiple testing (62J15) Compound decision problems in statistical decision theory (62C25)

Related Items (4)

Efficient Signal Inclusion With Genomic Applications ⋮ Estimating the proportion of signal variables under arbitrary covariance dependence ⋮ Adaptive Sparse Estimation With Side Information ⋮ Feature screening in large scale cluster analysis

This page was built for publication: Optimal Screening and Discovery of Sparse Signals with Applications to Multistage High Throughput Studies