32 citations · 115 across the 16 of their papers we have counts for
16 papers
Hypothesis Testing for Progressive Kernel Estimation and VCM Framework
Zehui Lin, Chenxiao Hu, Jinzhu Jia +1
Identifying an appropriate radius for unbiased kernel estimation is crucial for the efficiency of radiance estimation. However, determining both the radius and unbiasedness still f…
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…
Propensity Score Adapted Covariate Selection for Causal Inference
Kangjie Zhou, Jinzhu Jia
In this paper, we propose a propensity score adapted variable selection procedure to select covariates for inclusion in propensity score models, in order to eliminate confounding b…
Variance Reduction for Causal Inference
Kangjie Zhou, Jinzhu Jia
Propensity score methods have been shown to be powerful in obtaining efficient estimators of average treatment effect (ATE) from observational data, especially under the existence…
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…
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signals Detection
Huiming Zhang, Jinzhu Jia
We study a sparse negative binomial regression (NBR) for count data by showing the non-asymptotic advantages of using the elastic-net estimator. Two types of oracle inequalities ar…