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20142022
most citedHigh-dimensional variable selection via low-dimensional adaptive learning

11 citations · 15 across the 4 of their papers we have counts for

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Showing 2021Show all

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stat.ME2021★ 2 cited

A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selection

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

A simple and efficient adaptive Markov Chain Monte Carlo (MCMC) method, called the Metropolized Adaptive Subspace (MAdaSub) algorithm, is proposed for sampling from high-dimensiona…