49 citations · 131 across the 8 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
stat.ME2018★ 8 cited
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…
stat.ML2018★ 41 cited
Understanding and Accelerating Particle-Based Variational Inference
Chang Liu, Jingwei Zhuo, Pengyu Cheng +3
Particle-based variational inference methods (ParVIs) have gained attention in the Bayesian inference literature, for their capacity to yield flexible and accurate approximations.…