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stat.AP2025
Adaptive Bayesian computation for efficient biobank-scale genomic inference
Yiran Li, John Whittaker, Sylvia Richardson +1
Motivation: Modern biobanks, with unprecedented sample sizes and phenotypic diversity, have become foundational resources for genomic studies, enabling powerful cross-phenotype and…
stat.AP2018
A global-local approach for detecting hotspots in multiple-response regression
Hélène Ruffieux, Anthony C. Davison, Jörg Hager +4
We tackle modelling and inference for variable selection in regression problems with many predictors and many responses. We focus on detecting hotspots, i.e., predictors associated…