13 citations · 13 across the 2 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2021★ 13 cited
BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression
Zhi Zhao, Marco Banterle, Leonardo Bottolo +3
In molecular biology, advances in high-throughput technologies have made it possible to study complex multivariate phenotypes and their simultaneous associations with high-dimensio…
stat.ME2019
Bayesian Variable Selection for Gaussian copula regression models
Angelos Alexopoulos, Leonardo Bottolo
We develop a novel Bayesian method to select important predictors in regression models with multiple responses of diverse types. A sparse Gaussian copula regression model is used t…