activity
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 2020Show all

7 papers · 1 filter

stat.ME2020

Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error

Xiang Lyu, Jian Kang, Lexin Li

High-dimensional vector autoregression with measurement error is frequently encountered in a large variety of scientific and business applications. In this article, we study statis…

stat.ME2020★ 1 cited

Generalized Liquid Association Analysis for Multimodal Data Integration

Lexin Li, Jing Zeng, Xin Zhang

Multimodal data are now prevailing in scientific research. A central question in multimodal integrative analysis is to understand how two data modalities associate and interact wit…

stat.ME2020

Kernel Ordinary Differential Equations

Xiaowu Dai, Lexin Li

Ordinary differential equation (ODE) is widely used in modeling biological and physical processes in science. In this article, we propose a new reproducing kernel-based approach fo…

stat.ML2020★ 1 cited

Image Response Regression via Deep Neural Networks

Daiwei Zhang, Lexin Li, Chandra Sripada +1

Delineating the associations between images and a vector of covariates is of central interest in medical imaging studies. To tackle this problem of image response regression, we pr…

stat.ME2020

Testing Mediation Effects Using Logic of Boolean Matrices

Chengchun Shi, Lexin Li

Mediation analysis is becoming an increasingly important tool in scientific studies. A central question in high-dimensional mediation analysis is to infer the significance of indiv…

stat.ML2020★ 7 cited

Partially Observed Dynamic Tensor Response Regression

Jie Zhou, Will Wei Sun, Jingfei Zhang +1

In modern data science, dynamic tensor data is prevailing in numerous applications. An important task is to characterize the relationship between such dynamic tensor and external c…

stat.ME2020

Multivariate Temporal Point Process Regression

Xiwei Tang, Lexin Li

Point process modeling is gaining increasing attention, as point process type data are emerging in numerous scientific applications. In this article, motivated by a neuronal spike…