8 citations · 21 across the 4 of their papers we have counts for
4 papers
Variational approximations of empirical Bayes posteriors in high-dimensional linear models
Yue Yang, Ryan Martin
In high-dimensions, the prior tails can have a significant effect on both posterior computation and asymptotic concentration rates. To achieve optimal rates while keeping the poste…
Variational approximations using Fisher divergence
Yue Yang, Ryan Martin, Howard Bondell
Modern applications of Bayesian inference involve models that are sufficiently complex that the corresponding posterior distributions are intractable and must be approximated. The…
A causal inference framework for cancer cluster investigations using publicly available data
Rachel C. Nethery, Yue Yang, Anna J. Brown +1
Often, a community becomes alarmed when high rates of cancer are noticed, and residents suspect that the cancer cases could be caused by a known source of hazard. In response, the…
Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior
Chang Liu, Yue Yang, Howard Bondell +1
In the context of a high-dimensional linear regression model, we propose the use of an empirical correlation-adaptive prior that makes use of information in the observed predictor…