Dongming Huang

activity

20172026

most citedOn the optimality of sliced inverse regression in high dimensions

10 citations · 10 across the 1 of their papers we have counts for

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math.ST2026

Linear Functional Testing with General Loadings in Sparse Regression: Separation Rates and Computational Barriers

Jie Xie, Dongming Huang

We study the problem of testing $H_{0} : ξ^{⊤} β = t_{0}$ in high-dimensional sparse linear regression with Gaussian random design and unknown design covariance. The loading vector $ξ$ is…

math.ST2017★ 10 cited

On the optimality of sliced inverse regression in high dimensions

Qian Lin, Xinran Li, Dongming Huang +1

The central subspace of a pair of random variables $(y, x) \in R^{p + 1}$ is the minimal subspace $S$ such that $y ⊥ ⊥ x ∣ P_{S} x$ …