193 citations · 492 across the 9 of their papers we have counts for
5 papers · 1 filter
Bayesian MI-LASSO for Variable Selection on Multiply-Imputed Data
Jungang Zou, Sijian Wang, Qixuan Chen
Multiple imputation is widely used for handling missing data in real-world applications. For variable selection on multiply-imputed datasets, however, if selection is performed on…
An Easy-to-Implement Hierarchical Standardization for Variable Selection Under Strong Heredity Constraint
Kedong Chen, William Li, Sijian Wang
For many practical problems, the regression models follow the strong heredity property (also known as the marginality), which means they include parent main effects when a second-o…
Robust Estimation and Variable Selection for the Accelerated Failure Time Model
Yi Li, Muxuan Liang, Lu Mao +1
This paper considers robust modeling of the survival time for cancer patients. Accurate prediction can be helpful for developing therapeutic and care strategies. We propose a unifi…
Using distance covariance for improved variable selection with applications to genetic risk models
Jing Kong, Sijian Wang, Grace Wahba
Variable selection is of increasing importance to address the difficulties of high dimensionality in many scientific areas. In this paper, we demonstrate a property for distance co…
Group variable selection via convex Log-Exp-Sum penalty with application to a breast cancer survivor study
Zhigeng Geng, Sijian Wang, Menggang Yu +3
In many scientific and engineering applications, covariates are naturally grouped. When the group structures are available among covariates, people are usually interested in identi…