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A Bayesian Bi-Directional Splitting Framework for Variable Selection in Large Datasets
Modern tabular datasets are becoming increasingly large, both in the number of samples and covariates, posing significant challenges for Bayesian variable selection due to the resulting computational burden. While there is extensive literature on scaling Bayesian inference to large numbers of observ
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