Preprint
Sep 2026
A Bayesian Bi-Directional Splitting Framework for Variable Selection in Large Datasets
The proposed framework operates via a divide-and-conquer approach, splitting data into batches along both directions and analysing each batch independently in parallel in parallel, after which the results are combined together in a two-phase consensus procedure.
A. Coats, Vinny Davies, Mayetri Gupta
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