754 citations · 1.7k across the 32 of their papers we have counts for
4 papers · 2 filters
Revisiting Marginal Regression
Christopher Genovese, Jiashun Jin, Larry Wasserman
The lasso has become an important practical tool for high dimensional regression as well as the object of intense theoretical investigation. But despite the availability of efficie…
A generalized Fourier approach to estimating the null parameters and proportion of non-null effects in large-scale multiple testing
Jiashun Jin, Jie Peng, Pei Wang
In a recent paper (Efron (2004)), Efron pointed out that an important issue in large-scale multiple hypothesis testing is that the null distribution may be unknown and need to be e…
Feature selection when there are many influential features
Peter Hall, Jiashun Jin, Hugh Miller
Recent discussion of the success of feature selection methods has argued that focusing on a relatively small number of features has been counterproductive. Instead, it is suggested…
Innovated higher criticism for detecting sparse signals in correlated noise
Peter Hall, Jiashun Jin
Higher criticism is a method for detecting signals that are both sparse and weak. Although first proposed in cases where the noise variables are independent, higher criticism also…