PRADAS derives a Bayes-optimal mirror statistic for any splitting scheme, establishes asymptotic FDR control under weak dependence, and optimizes the split ratio as a stopping time to improve power over standard equal-split methods.
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A CTBN framework with order-dependent shrinkage priors is developed, compared via simulations, and applied to UK Biobank data to recover cardiometabolic and inflammatory multimorbidity modules.
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PRADAS: PRior-Assisted DAta Splitting for False Discovery Rate Control
PRADAS derives a Bayes-optimal mirror statistic for any splitting scheme, establishes asymptotic FDR control under weak dependence, and optimizes the split ratio as a stopping time to improve power over standard equal-split methods.
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Continuous-Time Bayesian Networks with Structured Shrinkage Priors for Modelling Multimorbidity Trajectories in Large-Scale Electronic Health Records
A CTBN framework with order-dependent shrinkage priors is developed, compared via simulations, and applied to UK Biobank data to recover cardiometabolic and inflammatory multimorbidity modules.