139 citations · 725 across the 72 of their papers we have counts for
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math.ST2017
High Dimensional Inference in Partially Linear Models
Ying Zhu, Zhuqing Yu, Guang Cheng
We propose two semiparametric versions of the debiased Lasso procedure for the model , where is high dimensional but sparse (exactly or approxi…
math.ST2017★ 8 cited
Non-asymptotic theory for nonparametric testing
Yun Yang, Zuofeng Shang, Guang Cheng
We consider nonparametric testing in a non-asymptotic framework. Our statistical guarantees are exact in the sense that Type I and II errors are controlled for any finite sample si…
math.ST2017★ 14 cited
Distributed inference for quantile regression processes
Stanislav Volgushev, Shih-Kang Chao, Guang Cheng
The increased availability of massive data sets provides a unique opportunity to discover subtle patterns in their distributions, but also imposes overwhelming computational challe…