Adaptive sampling for Bayesian variable selection

Our paper proposes adaptive Monte Carlo sampling schemes for Bayesian variable selection in linear regression that improve on standard Markov chain methods. We do so by considering Metropolis--Hastings proposals that make use of accumulated information about the posterior distribution obtained durin... View More