78 citations · 206 across the 26 of their papers we have counts for
7 papers · 1 filter
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data
Yanxin Jin, Yang Ning, Kean Ming Tan
Graphical models have been used extensively for modeling brain connectivity networks. However, unmeasured confounders and correlations among measurements are often overlooked durin…
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning
Siyi Deng, Yang Ning, Jiwei Zhao +1
We consider the estimation problem in high-dimensional semi-supervised learning. Our goal is to investigate when and how the unlabeled data can be exploited to improve the estimati…
Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data
Yang Ning, Sida Peng, Jing Tao
This paper proposes a doubly robust two-stage semiparametric difference-in-difference estimator for estimating heterogeneous treatment effects with high-dimensional data. Our new e…
Sparse Confidence Sets for Normal Mean Models
Yang Ning, Guang Cheng
In this paper, we propose a new framework to construct confidence sets for a -dimensional unknown sparse parameter under the normal mean model . A key featu…
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
Muxuan Liang, Young-Geun Choi, Yang Ning +2
With the increasing adoption of electronic health records, there is an increasing interest in developing individualized treatment rules, which recommend treatments according to pat…
Adaptive Estimation in Multivariate Response Regression with Hidden Variables
Xin Bing, Yang Ning, Yaosheng Xu
This paper studies the estimation of the coefficient matrix $\Ttheta$ in multivariate regression with hidden variables, $Y = (\Ttheta)^TX + (B^*)^TZ + E$, where is a -dimens…