1 citations · 1 across the 6 of their papers we have counts for
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High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model
Wei Liu, Qingzhi Zhong
Factor analysis for high-dimensional data is a canonical problem in statistics and has a wide range of applications. However, there is currently no factor model tailored to effecti…
High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model
Wei Liu, Qingzhi Zhong
The current Poisson factor models often assume that the factors are unknown, which overlooks the explanatory potential of certain observable covariates. This study focuses on high…
Minimum Area Confidence Set Optimality for Simultaneous Confidence Bands for Percentiles in Linear Regression
Lingjiao Wang, Yang Han, Wei Liu +1
Simultaneous confidence bands (SCBs) for percentiles in linear regression are valuable tools with many applications. In this paper, we propose a novel criterion for comparing SCBs…
Confidence Sets for a level set in linear regression
Fang Wan, Wei Liu, Frank Bretz
Regression modeling is the workhorse of statistics and there is a vast literature on estimation of the regression function. It is realized in recent years that in regression analys…