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03/22/2023
Learning Brain Connectivity in Social Cognition with Dynamic Network Regression
Dynamic networks have been increasingly used to characterize brain conne...
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10/24/2022
Fast Community Detection in Dynamic and Heterogeneous Networks
Dynamic heterogeneous networks describe the temporal evolution of intera...
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09/08/2022
Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data
There is a growing interest in cell-type-specific analysis from bulk sam...
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07/20/2022
Bias-correction and Test for Mark-point Dependence with Replicated Marked Point Processes
Mark-point dependence plays a critical role in research problems that ca...
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05/21/2022
Multi-task Learning for Gaussian Graphical Regressions with High Dimensional Covariates
Gaussian graphical regression is a powerful means that regresses the pre...
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07/27/2021
Discriminative-Generative Representation Learning for One-Class Anomaly Detection
As a kind of generative self-supervised learning methods, generative adv...
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04/15/2021
Heterogeneous Tensor Mixture Models in High Dimensions
We consider the problem of jointly modeling and clustering populations o...
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12/15/2020
Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues
In this paper, we study limiting laws and consistent estimation criteria...
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11/10/2020
Gaussian Graphical Regression Models with High Dimensional Responses and Covariates
Though Gaussian graphical models have been widely used in many scientifi...
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11/01/2020
Fast Network Community Detection with Profile-Pseudo Likelihood Methods
The stochastic block model is one of the most studied network models for...
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04/07/2020
Latent Network Structure Learning from High Dimensional Multivariate Point Processes
Learning the latent network structure from large scale multivariate poin...
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02/22/2020
Partially Observed Dynamic Tensor Response Regression
In modern data science, dynamic tensor data is prevailing in numerous ap...
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03/31/2019
Sparse Tensor Additive Regression
Tensors are becoming prevalent in modern applications such as medical im...
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10/07/2018
Network Response Regression for Modeling Population of Networks with Covariates
Multiple-network data are fast emerging in recent years, where a separat...
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06/11/2018
Mixed-Effect Time-Varying Network Model and Application in Brain Connectivity Analysis
Time-varying networks are fast emerging in a wide range of scientific an...
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03/21/2018