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math.ST2020
Posterior Impropriety of some Sparse Bayesian Learning Models
Anand Dixit, Vivekananda Roy
Sparse Bayesian learning models are typically used for prediction in datasets with significantly greater number of covariates than observations. Such models often take a reproducin…
stat.ME2020★ 3 cited
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings
Dongjin Li, Somak Dutta, Vivekananda Roy
We develop a Bayesian variable selection method, called SVEN, based on a hierarchical Gaussian linear model with priors placed on the regression coefficients as well as on the mode…