1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2025
Scalable Variable Selection and Model Averaging for Latent Regression Models Using Approximate Variational Bayes
Gregor Zens, Mark F. J. Steel
We propose a fast and theoretically grounded method for Bayesian variable selection and model averaging in latent variable regression models. Our framework addresses three interrel…
stat.ME2024★ 1 cited
Model Uncertainty in Latent Gaussian Models with Univariate Link Function
Mark F. J. Steel, Gregor Zens
We consider a class of latent Gaussian models with a univariate link function (ULLGMs). These are based on standard likelihood specifications (such as Poisson, Binomial, Bernoulli,…