32 citations · 115 across the 16 of their papers we have counts for
5 papers · 1 filter
Te Test: A New Non-asymptotic T-test for Behrens-Fisher Problems
Chang Wang, Jinzhu Jia
The Behrens-Fisher Problem is a classical statistical problem. It is to test the equality of the means of two normal populations using two independent samples, when the equality of…
Directional FDR Control for Sub-Gaussian Sparse GLMs
Chang Cui, Jinzhu Jia, Yijun Xiao +1
High-dimensional sparse generalized linear models (GLMs) have emerged in the setting that the number of samples and the dimension of variables are large, and even the dimension of…
Sparse Poisson Regression with Penalized Weighted Score Function
Jinzhu Jia, Fang Xie, Lihu Xu
We proposed a new penalized method in this paper to solve sparse Poisson Regression problems. Being different from penalized log-likelihood estimation, our new method can…
Vanilla Lasso for sparse classification under single index models
Jiyi Liu, Jinzhu Jia
This paper study sparse classification problems. We show that under single-index models, vanilla Lasso could give good estimate of unknown parameters. With this result, we see that…
Preconditioning to comply with the Irrepresentable Condition
Jinzhu Jia, Karl Rohe
Preconditioning is a technique from numerical linear algebra that can accelerate algorithms to solve systems of equations. In this paper, we demonstrate how preconditioning can cir…