675 citations · 3.4k across the 24 of their papers we have counts for
24 papers
Inference on High-dimensional Single-index Models with Streaming Data
Dongxiao Han, Jinhan Xie, Jin Liu +4
Traditional statistical methods are faced with new challenges due to streaming data. The major challenge is the rapidly growing volume and velocity of data, which makes storing suc…
Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data
Lan Luo, Ruijian Han, Yuanyuan Lin +1
In this paper we develop an online statistical inference approach for high-dimensional generalized linear models with streaming data for real-time estimation and inference. We prop…
Online Debiased Lasso for Streaming Data
Ruijian Han, Lan Luo, Yuanyuan Lin +1
We propose an online debiased lasso (ODL) method for statistical inference in high-dimensional linear models with streaming data. The proposed ODL consists of an efficient computat…
LPG: a four-groups probabilistic approach to leveraging pleiotropy in genome-wide association studies
Yi Yang, Mingwei Dai, Jian Huang +4
To date, genome-wide association studies (GWAS) have successfully identified tens of thousands of genetic variants among a variety of traits/diseases, shedding a light on the genet…
Exploration of heterogeneous treatment effects via concave fusion
Shujie Ma, Jian Huang, Zhiwei Zhang +1
Understanding treatment heterogeneity is essential to the development of precision medicine, which seeks to tailor medical treatments to subgroups of patients with similar characte…
Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression
Congrui Yi, Jian Huang
We propose an algorithm, semismooth Newton coordinate descent (SNCD), for the elastic-net penalized Huber loss regression and quantile regression in high dimensional settings. Unli…