A global-local approach for detecting hotspots in multiple-response regression
DOI10.1214/20-AOAS1332zbMath1446.62288arXiv1811.03334OpenAlexW3037587606MaRDI QIDQ2194477
Jamie Inshaw, Benjamin P. Fairfax, Leonardo Bottolo, Hélène Ruffieux, Jörg Hager, Sylvia Richardson, Anthony C. Davison
Publication date: 26 August 2020
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1811.03334
statistical geneticshierarchical modelvariable selectionshrinkagehorseshoe priornormal scale mixtureannealed variational inferencemolecular quantitative trait locus analysesmultiplicity controlregulation hotspot
Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20) Statistical ranking and selection procedures (62F07) Paired and multiple comparisons; multiple testing (62J15)
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