5 citations · 14 across the 8 of their papers we have counts for
8 papers
High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization
Wanrong Zhu, Zhipeng Lou, Ziyang Wei +1
Uncertainty quantification for estimation through stochastic optimization solutions in an online setting has gained popularity recently. This paper introduces a novel inference met…
Spectral Ranking Inferences based on General Multiway Comparisons
Jianqing Fan, Zhipeng Lou, Weichen Wang +1
This paper studies the performance of the spectral method in the estimation and uncertainty quantification of the unobserved preference scores of compared entities in a general and…
Communication-Efficient Distributed Estimation and Inference for Cox's Model
Pierre Bayle, Jianqing Fan, Zhipeng Lou
Motivated by multi-center biomedical studies that cannot share individual data due to privacy and ownership concerns, we develop communication-efficient iterative distributed algor…
High Dimensional Analysis of Variance in Multivariate Linear Regression
Zhipeng Lou, Xianyang Zhang, Wei Biao Wu
In this paper, we develop a systematic theory for high dimensional analysis of variance in multivariate linear regression, where the dimension and the number of coefficients can bo…
Robust High-dimensional Tuning Free Multiple Testing
Jianqing Fan, Zhipeng Lou, Mengxin Yu
A stylized feature of high-dimensional data is that many variables have heavy tails, and robust statistical inference is critical for valid large-scale statistical inference. Yet,…
Ranking Inferences Based on the Top Choice of Multiway Comparisons
Jianqing Fan, Zhipeng Lou, Weichen Wang +1
This paper considers ranking inference of items based on the observed data on the top choice among randomly selected items at each trial. This is a useful modification of t…
Are Latent Factor Regression and Sparse Regression Adequate?
Jianqing Fan, Zhipeng Lou, Mengxin Yu
We propose the Factor Augmented sparse linear Regression Model (FARM) that not only encompasses both the latent factor regression and sparse linear regression as special cases but…
Simultaneous Inference for High Dimensional Mean Vectors
Zhipeng Lou, Wei Biao Wu
Let be i.i.d. random vectors. We aim to perform simultaneous inference for the mean vector with finite polynomial moments and a…