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04/13/2023
Improved Naive Bayes with Mislabeled Data
Labeling mistakes are frequently encountered in real-world applications....
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04/13/2023
Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis with Limited Computational Resources
Modern statistical analysis often encounters datasets with large sizes. ...
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04/05/2023
Distributed Logistic Regression for Massive Data with Rare Events
Large-scale rare events data are commonly encountered in practice. To ta...
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03/13/2023
CoGANPPIS: Coevolution-enhanced Global Attention Neural Network for Protein-Protein Interaction Site Prediction
Protein-protein interactions are essential in biochemical processes. Acc...
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02/06/2023
Network Autoregression for Incomplete Matrix-Valued Time Series
We study the dynamics of matrix-valued time series with observed network...
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12/05/2022
Matrix-valued Network Autoregression Model with Latent Group Structure
Matrix-valued time series data are frequently observed in a broad range ...
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09/25/2022
Simultaneous Estimation and Group Identification for Network Vector Autoregressive Model with Heterogeneous Nodes
We study the dynamic behaviors of heterogeneous individuals observed in ...
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11/02/2021
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models
Momentum methods have been shown to accelerate the convergence of the st...
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10/11/2021
Graphical Assistant Grouped Network Autoregression Model: a Bayesian Nonparametric Recourse
Vector autoregression model is ubiquitous in classical time series data ...
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10/03/2021
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint
The emergence of massive data in recent years brings challenges to autom...
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09/24/2020
Distributed Community Detection for Large Scale Networks Using Stochastic Block Model
With rapid developments of information and technology, large scale netwo...
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07/10/2020
Community Network Auto-Regression for High-Dimensional Time Series
Modeling responses on the nodes of a large-scale network is an important...
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02/20/2020
Network Group Hawkes Process Model
In this work, we study the event occurrences of user activities on onlin...
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08/14/2019