9 citations · 13 across the 4 of their papers we have counts for
4 papers
PRADAS: PRior-Assisted DAta Splitting for False Discovery Rate Control
Yuanchuan Guo, Buyu Lin, Jun S. Liu
In the FDR-controlling literature, mirror statistics offer a flexible alternative to -value based procedures. When prior information is available, however, it is unclear how to…
A Variational Spike-and-Slab Approach for Group Variable Selection
Buyu Lin, Changhao Ge, Jun S. Liu
We introduce a class of generic spike-and-slab priors for high-dimensional linear regression with grouped variables and present a Coordinate-ascent Variational Inference (CAVI) alg…
A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models
Chenguang Dai, Buyu Lin, Xin Xing +1
The generalized linear models (GLM) have been widely used in practice to model non-Gaussian response variables. When the number of explanatory features is relatively large, scienti…
False Discovery Rate Control via Data Splitting
Chenguang Dai, Buyu Lin, Xin Xing +1
Selecting relevant features associated with a given response variable is an important issue in many scientific fields. Quantifying quality and uncertainty of a selection result via…