3 citations · 7 across the 7 of their papers we have counts for
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stat.ME2022
High-dimensional Variable Screening via Conditional Martingale Difference Divergence
Lei Fang, Qingcong Yuan, Xiangrong Yin +1
Variable screening has been a useful research area that deals with ultrahigh-dimensional data. When there exist both marginally and jointly dependent predictors to the response, ex…
stat.ME2016★ 1 cited
Sparsity Oriented Importance Learning for High-dimensional Linear Regression
Chenglong Ye, Yi Yang, Yuhong Yang
With now well-recognized non-negligible model selection uncertainty, data analysts should no longer be satisfied with the output of a single final model from a model selection proc…