b'Hongzhe Li'

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Featured Co-authors

T. Tony Cai
48 publications
Linjun Zhang
33 publications
Zijian Guo
26 publications
Lu Tian
20 publications
Fei Xue
18 publications
Sai Li
16 publications
Eric Z. Chen
16 publications
Rong Ma
16 publications
Zhigang Li
14 publications
Preetam Nandy
9 publications
Abhishek Chakrabortty
9 publications

research

∙ 06/28/2023

Transfer Learning with Random Coefficient Ridge Regression

Ridge regression with random coefficients provides an important alternat...

0 Hongzhe Zhang, et al. ∙

research

∙ 01/05/2023

HT-MMIOW: A Hypothesis Test approach for Microbiome Mediation using Inverse Odds Weighting

The human microbiome has an important role in determining health. Mediat...

0 Yuka Moroishi, et al. ∙

research

∙ 11/25/2022

An Empirical Bayes Regression for Multi-tissue eQTL Data Analysis

The Genotype-Tissue Expression (GTEx) project collects samples from mult...

0 Fei Xue, et al. ∙

research

∙ 11/22/2022

Transfer Learning for Contextual Multi-armed Bandits

Motivated by a range of applications, we study in this paper the problem...

0 Changxiao Cai, et al. ∙

research

∙ 08/30/2022

Mediation analysis with densities as mediators with an application to iCOMPARE trial

Physical activity has long been shown to be associated with biological a...

0 Jingru Zhang, et al. ∙

research

∙ 02/21/2022

Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression

This paper studies the problem of statistical inference for genetic rela...

0 Rong Ma, et al. ∙

research

∙ 01/11/2022

Estimation and Inference with Proxy Data and its Genetic Applications

Existing high-dimensional statistical methods are largely established fo...

0 Sai Li, et al. ∙

research

∙ 11/03/2021

Inference of Microbial Interactions Using Copula Models with Mixture Margins

Quantification of microbial interactions from 16S rRNA and meta-genomic ...

0 Rebecca A. Deek, et al. ∙

research

∙ 10/11/2021

Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data

High-throughput sequencing technology allows us to test the compositiona...

0 Wanjie Wang, et al. ∙

research

∙ 06/24/2021

Two-sample tests for repeated measurements of histogram objects with applications to wearable device data

Repeated observations have become increasingly common in biomedical rese...

0 Jingru Zhang, et al. ∙

research

∙ 06/15/2021

Multi-sample estimation of centered log-ratio matrix in microbiome studies

In microbiome studies, one of the ways of studying bacterial abundances ...

0 Yezheng Li, et al. ∙

research

∙ 06/08/2021

A Unified Approach to Robust Inference for Genetic Covariance

Genome-wide association studies (GWAS) have identified thousands of gene...

0 Jianqiao Wang, et al. ∙

research

∙ 06/07/2021

Semi-Supervised Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data

Blockwise missing data occurs frequently when we integrate multisource o...

0 Fei Xue, et al. ∙

research

∙ 11/06/2020

Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression

This paper studies the high-dimensional mixed linear regression (MLR) wh...

13 Linjun Zhang, et al. ∙

research

∙ 10/21/2020

Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control

Transfer learning for high-dimensional Gaussian graphical models (GGMs) ...

5 Sai Li, et al. ∙

research

∙ 06/18/2020

Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality

This paper considers the estimation and prediction of a high-dimensional...

0 Sai Li, et al. ∙

research

∙ 02/18/2020

Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates

Driven by a wide range of applications, many principal subspace estimati...

17 T. Tony Cai, et al. ∙

research

∙ 11/28/2019

Optimal and Adaptive Estimation of Extreme Values in the Permuted Monotone Matrix Model

Motivated by applications in metagenomics, we consider the permuted mono...

0 Rong Ma, et al. ∙

research

∙ 11/26/2019

High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework

We consider high dimensional M-estimation in settings where the response...

17 Abhishek Chakrabortty, et al. ∙

research

∙ 11/24/2019

Optimal Permutation Recovery in Permuted Monotone Matrix Model

Motivated by recent research on quantifying bacterial growth dynamics ba...

0 Rong Ma, et al. ∙

research

∙ 10/21/2019

Hypothesis Testing in High-Dimensional Instrumental Variables Regression with an Application to Genomics Data

Gene expression and phenotype association can be affected by potential u...

0 Hongzhe Li, et al. ∙

research

∙ 09/22/2019

IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses

The target of inference in microbiome analyses is usually relative abund...

0 Zhigang Li, et al. ∙

research

∙ 07/13/2019

Inference for high-dimensional linear mixed-effects models: A quasi-likelihood approach

Linear mixed-effects models are widely used in analyzing clustered or re...

0 Sai Li, et al. ∙

research

∙ 11/30/2018

Two-sample Test of Community Memberships of Weighted Stochastic Block Models

Suppose two networks are observed for the same set of nodes, where each ...

0 Yezheng Li, et al. ∙

research

∙ 09/27/2018

Inference for Individual Mediation Effects and Interventional Effects in Sparse High-Dimensional Causal Graphical Models

We consider the problem of identifying intermediate variables (or mediat...

0 Abhishek Chakrabortty, et al. ∙

research

∙ 05/17/2018

Global and Simultaneous Hypothesis Testing for High-Dimensional Logistic Regression Models

High-dimensional logistic regression is widely used in analyzing data wi...

0 Rong Ma, et al. ∙

research

∙ 01/24/2018

Optimal Estimation of Simultaneous Signals Using Absolute Inner Product with Applications to Integrative Genomics

Integrating the summary statistics from genome-wide association study (G...

0 T. Tony Cai, et al. ∙

research

∙ 01/10/2018

Generalized Linear Models with Linear Constraints for Microbiome Compositional Data

Motivated by regression analysis for microbiome compositional data, this...

0 Pixu Shi, et al. ∙

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