12 citations · 14 across the 3 of their papers we have counts for
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stat.ME2018
Sparse Model Identification and Learning for Ultra-high-dimensional Additive Partially Linear Models
Xinyi Li, Li Wang, Dan Nettleton
The additive partially linear model (APLM) combines the flexibility of nonparametric regression with the parsimony of regression models, and has been widely used as a popular tool…
stat.ME2018
Variable Importance Assessments and Backward Variable Selection for High-Dimensional Data
Liuhua Peng, Long Qu, Dan Nettleton
Variable selection in high-dimensional scenarios is of great interested in statistics. One application involves identifying differentially expressed genes in genomic analysis. Exis…