86 citations · 122 across the 3 of their papers we have counts for
3 papers
math.ST2015★ 86 cited
Scaling It Up: Stochastic Search Structure Learning in Graphical Models
Hao Wang
Gaussian concentration graph models and covariance graph models are two classes of graphical models that are useful for uncovering latent dependence structures among multivariate v…
stat.AP2012★ 36 cited
Multiple imputation for sharing precise geographies in public use data
Hao Wang, Jerome P. Reiter
When releasing data to the public, data stewards are ethically and often legally obligated to protect the confidentiality of data subjects' identities and sensitive attributes. The…
stat.ME2011
On a Class of Shrinkage Priors for Covariance Matrix Estimation
Hao Wang, Natesh S. Pillai
We propose a flexible class of models based on scale mixture of uniform distributions to construct shrinkage priors for covariance matrix estimation. This new class of priors enjoy…