10 citations · 37 across the 28 of their papers we have counts for
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math.ST2015★ 10 cited
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs
Matey Neykov, Jun S. Liu, Tianxi Cai
It is known that for a certain class of single index models (SIMs) , support recovery is impossible when $\…
math.ST2015
Signed Support Recovery for Single Index Models in High-Dimensions
Matey Neykov, Qian Lin, Jun S. Liu
In this paper we study the support recovery problem for single index models , where is an unknown link function, $\bol…
math.ST2015
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations
Matey Neykov, Yang Ning, Jun S. Liu +1
We propose a new inferential framework for constructing confidence regions and testing hypotheses in statistical models specified by a system of high dimensional estimating equatio…