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04/21/2023
Joint Mirror Procedure: Controlling False Discovery Rate for Identifying Simultaneous Signals
In many applications, identifying a single feature of interest requires ...
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03/08/2023
Principal Component Analysis of Two-dimensional Functional Data with Serial Correlation
In this paper, we propose a novel model to analyze serially correlated t...
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02/16/2023
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
Tensor regression methods have been widely used to predict a scalar resp...
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11/09/2022
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
This work studies the multi-task functional linear regression models whe...
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11/09/2022
Spline Estimation of Functional Principal Components via Manifold Conjugate Gradient Algorithm
Functional principal component analysis has become the most important di...
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10/31/2022
Powerful Spatial Multiple Testing via Borrowing Neighboring Information
Clustered effects are often encountered in multiple hypothesis testing o...
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10/23/2022
Functional Bayesian Networks for Discovering Causality from Multivariate Functional Data
Multivariate functional data arise in a wide range of applications. One ...
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01/28/2022
Causal Discovery with Heterogeneous Observational Data
We consider the problem of causal discovery (structure learning) from he...
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04/01/2021
LinDA: Linear Models for Differential Abundance Analysis of Microbiome Compositional Data
One fundamental statistical task in microbiome data analysis is differen...
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10/22/2020
CP Degeneracy in Tensor Regression
Tensor linear regression is an important and useful tool for analyzing t...
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08/29/2020
Broadcasted Nonparametric Tensor Regression
We propose a novel broadcasting idea to model the nonlinearity in tensor...
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05/17/2020
Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization
High-throughput sequencing technology provides unprecedented opportuniti...
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12/01/2019