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Author

Mayetri Gupta

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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 · 0 citations

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