1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2026
Spectral Collapsed Gibbs Sampler for Bayesian Sparse Regression
Andrew Chin, Xiyu Ding, Akihiko Nishimura
Sparse regression based on global-local shrinkage priors are increasingly used for Bayesian modeling of modern high-dimensional data, but scaling up the Gibbs sampler for posterior…
stat.CO2022★ 1 cited
hdtg: An R package for high-dimensional truncated normal simulation
Zhenyu Zhang, Andrew Chin, Akihiko Nishimura +1
Simulating from the multivariate truncated normal distribution (MTN) is required in various statistical applications yet remains challenging in high dimensions. Currently available…