Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series
Author:
Affiliation:
1. Auburn University,Department of Electrical & Computer Engineering,Auburn,AL,USA,36849
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747446.pdf?arnumber=9747446
Reference25 articles.
1. Compressive nonparametric graphical model selection for time series
2. Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach
3. Graphical LASSO based Model Selection for Time Series
4. Graphical Modeling Of High-Dimensional Time Series
5. Consistency of Sparse-Group Lasso Graphical Model Selection for Time Series
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data;IEEE Transactions on Signal Processing;2024
2. Estimation of Differential Graphs via Log-Sum Penalized D-Trace Loss;2023 IEEE Statistical Signal Processing Workshop (SSP);2023-07-02
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