91 citations · 330 across the 8 of their papers we have counts for
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Reversible Jump MCMC With No Regrets: Bayesian Variable Selection Using Mixtures of Mutually Singular Distributions
Don van den Bergh, Merlise A. Clyde, Adrian E. Raftery +1
Bayesian variable selection requires sampling from a posterior distribution that combines discrete model indicators with continuously varying parameters, a challenge often addresse…
Mixtures of g-priors in Generalized Linear Models
Yingbo Li, Merlise A. Clyde
Mixtures of Zellner's g-priors have been studied extensively in linear models and have been shown to have numerous desirable properties for Bayesian variable selection and model av…
Generalized Beta Mixtures of Gaussians
Artin Armagan, David B. Dunson, Merlise Clyde
In recent years, a rich variety of shrinkage priors have been proposed that have great promise in addressing massive regression problems. In general, these new priors can be expres…