100 citations · 275 across the 10 of their papers we have counts for
5 papers · 1 filter
A Direct Approach for Sparse Quadratic Discriminant Analysis
Binyan Jiang, Xiangyu Wang, Chenlei Leng
Quadratic discriminant analysis (QDA) is a standard tool for classification due to its simplicity and flexibility. Because the number of its parameters scales quadratically with th…
High-dimensional Ordinary Least-squares Projection for Screening Variables
Xiangyu Wang, Chenlei Leng
Variable selection is a challenging issue in statistical applications when the number of predictors far exceeds the number of observations . In this ultra-high dimensional s…
Parallelizing MCMC with Random Partition Trees
Xiangyu Wang, Fangjian Guo, Katherine A. Heller +1
The modern scale of data has brought new challenges to Bayesian inference. In particular, conventional MCMC algorithms are computationally very expensive for large data sets. A pro…
No penalty no tears: Least squares in high-dimensional linear models
Xiangyu Wang, David Dunson, Chenlei Leng
Ordinary least squares (OLS) is the default method for fitting linear models, but is not applicable for problems with dimensionality larger than the sample size. For these problems…
On the consistency theory of high dimensional variable screening
Xiangyu Wang, Chenlei Leng, David B. Dunson
Variable screening is a fast dimension reduction technique for assisting high dimensional feature selection. As a preselection method, it selects a moderate size subset of candidat…