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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.ME2025
NExON-Bayes: A Bayesian approach to network estimation informed by ordinal covariates
Joseph Feest, Hélène Ruffieux, Camilla Lingjærde +1
In heterogeneous disease settings, accounting for intrinsic sample variability is crucial for obtaining reliable and interpretable omic network estimates. However, most graphical m…