2 papers
stat.ME2020
Markov Neighborhood Regression for High-Dimensional Inference
Faming Liang, Jingnan Xue, Bochao Jia
This paper proposes an innovative method for constructing confidence intervals and assessing p-values in statistical inference for high-dimensional linear models. The proposed meth…
stat.ME2018
An Imputation-Consistency Algorithm for High-Dimensional Missing Data Problems and Beyond
Faming Liang, Bochao Jia, Jingnan Xue +2
Missing data are frequently encountered in high-dimensional problems, but they are usually difficult to deal with using standard algorithms, such as the expectation-maximization (E…