1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2020
Projected Robust PCA with Application to Smooth Image Recovery
Long Feng, Junhui Wang
Most high-dimensional matrix recovery problems are studied under the assumption that the target matrix has certain intrinsic structures. For image data related matrix recovery prob…
stat.ME2018
Power Comparison between High Dimensional t-Test, Sign, and Signed Rank Tests
Long Feng
In this paper, we propose a power comparison between high dimensional t-test, sign and signed rank test for the one sample mean test. We show that the high dimensional signed rank…
math.ST2017★ 1 cited
Sorted Concave Penalized Regression
Long Feng, Cun-Hui Zhang
The Lasso is biased. Concave penalized least squares estimation (PLSE) takes advantage of signal strength to reduce this bias, leading to sharper error bounds in prediction, coeffi…