139 citations · 725 across the 72 of their papers we have counts for
9 papers · 2 filters
Distributed Nearest Neighbor Classification
Jiexin Duan, Xingye Qiao, Guang Cheng
Nearest neighbor is a popular nonparametric method for classification and regression with many appealing properties. In the big data era, the sheer volume and spatial/temporal disp…
Optimal False Discovery Control of Minimax Estimator
Qifan Song, Guang Cheng
Two major research tasks lie at the heart of high dimensional data analysis: accurate parameter estimation and correct support recovery. The existing literature mostly aims for eit…
Finite Time Analysis of Vector Autoregressive Models under Linear Restrictions
Yao Zheng, Guang Cheng
This paper develops a unified finite-time theory for the ordinary least squares estimation of possibly unstable and even slightly explosive vector autoregressive models under linea…
High Dimensional Robust Inference for Cox Regression Models
Shengchun Kong, Zhuqing Yu, Xianyang Zhang +1
We consider high-dimensional inference for potentially misspecified Cox proportional hazard models based on low dimensional results by Lin and Wei [1989]. A de-sparsified Lasso est…
Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares
Xiao Guo, Guang Cheng
Statistical inferences for quadratic functionals of linear regression parameter have found wide applications including signal detection, global testing, inferences of error varianc…
Quadratic Discriminant Analysis under Moderate Dimension
Qing Yang, Guang Cheng
Quadratic discriminant analysis (QDA) is a simple method to classify a subject into two populations, and was proven to perform as well as the Bayes rule when the data dimension p i…