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20122026
most citedTensor Regression with Applications in Neuroimaging Data Analysis

576 citations · 1.1k across the 42 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

stat.ME2021★ 2 cited

Post-Regularization Confidence Bands for Ordinary Differential Equations

Xiaowu Dai, Lexin Li

Ordinary differential equation (ODE) is an important tool to study the dynamics of a system of biological and physical processes. A central question in ODE modeling is to infer the…

stat.ML2021

Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning

Chengchun Shi, Yunzhe Zhou, Lexin Li

In this article, we propose a new hypothesis testing method for directed acyclic graph (DAG). While there is a rich class of DAG estimation methods, there is a relative paucity of…

stat.ML2021★ 1 cited

Nonparametric Trace Regression in High Dimensions via Sign Series Representation

Chanwoo Lee, Lexin Li, Hao Helen Zhang +1

Learning of matrix-valued data has recently surged in a range of scientific and business applications. Trace regression is a widely used method to model effects of matrix predictor…

stat.ME2021

Kernel Knockoffs Selection for Nonparametric Additive Models

Xiaowu Dai, Xiang Lyu, Lexin Li

Thanks to its fine balance between model flexibility and interpretability, the nonparametric additive model has been widely used, and variable selection for this type of model has…

stat.ME2021★ 3 cited

Multimodal Data Integration via Mediation Analysis with High-Dimensional Exposures and Mediators

Yi Zhao, Lexin Li

Motivated by an imaging proteomics study for Alzheimer's disease (AD), in this article, we propose a mediation analysis approach with high-dimensional exposures and high-dimensiona…

stat.ME2021★ 1 cited

Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis

Xiaowu Dai, Lexin Li

Multimodal imaging has transformed neuroscience research. While it presents unprecedented opportunities, it also imposes serious challenges. Particularly, it is difficult to combin…