185 citations · 654 across the 31 of their papers we have counts for
5 papers · 1 filter
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
Abhishek Chakrabortty, Jiarui Lu, T. Tony Cai +1
We consider high dimensional -estimation in settings where the response is possibly missing at random and the covariates can be high dimensiona…
Optimal Permutation Recovery in Permuted Monotone Matrix Model
Rong Ma, T. Tony Cai, Hongzhe Li
Motivated by recent research on quantifying bacterial growth dynamics based on genome assemblies, we consider a permuted monotone matrix model , where the rows represent di…
Hypothesis Testing in High-Dimensional Instrumental Variables Regression with an Application to Genomics Data
Jiarui Lu, Hongzhe Li
Gene expression and phenotype association can be affected by potential unmeasured confounders from multiple sources, leading to biased estimates of the associations. Since genetic…
IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses
Zhigang Li, Lu Tian, A. James O'Malley +8
The target of inference in microbiome analyses is usually relative abundance (RA) because RA in a sample (e.g., stool) can be considered as an approximation of RA in an entire ecos…
Inference for high-dimensional linear mixed-effects models: A quasi-likelihood approach
Sai Li, Tony T. Cai, Hongzhe Li
Linear mixed-effects models are widely used in analyzing clustered or repeated measures data. We propose a quasi-likelihood approach for estimation and inference of the unknown par…