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06/28/2023
Transfer Learning with Random Coefficient Ridge Regression
Ridge regression with random coefficients provides an important alternat...
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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...
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11/25/2022
An Empirical Bayes Regression for Multi-tissue eQTL Data Analysis
The Genotype-Tissue Expression (GTEx) project collects samples from mult...
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11/22/2022
Transfer Learning for Contextual Multi-armed Bandits
Motivated by a range of applications, we study in this paper the problem...
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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...
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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...
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01/11/2022
Estimation and Inference with Proxy Data and its Genetic Applications
Existing high-dimensional statistical methods are largely established fo...
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11/03/2021
Inference of Microbial Interactions Using Copula Models with Mixture Margins
Quantification of microbial interactions from 16S rRNA and meta-genomic ...
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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...
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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...
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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 ...
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06/08/2021
A Unified Approach to Robust Inference for Genetic Covariance
Genome-wide association studies (GWAS) have identified thousands of gene...
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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...
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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...
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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) ...
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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...
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02/18/2020
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates
Driven by a wide range of applications, many principal subspace estimati...
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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...
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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...
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11/24/2019
Optimal Permutation Recovery in Permuted Monotone Matrix Model
Motivated by recent research on quantifying bacterial growth dynamics ba...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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01/10/2018