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Graphical LASSO Based Model Selection for Time Series

5 October 2014

Papers citing "Graphical LASSO Based Model Selection for Time Series"

20 / 20 papers shown

Title
Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data Jitendra Tugnait CML 41 2 0 29 Apr 2024
Bayesian Inference for High-dimensional Time Series by Latent Process Modeling Arkaprava Roy Anindya Roy S. Ghosal AI4TS 125 0 0 07 Mar 2024
Learning Multi-Frequency Partial Correlation Graphs Gabriele DÁcunto Paolo Di Lorenzo Francesco Bonchi S. Sardellitti Sergio Barbarossa 81 0 0 27 Nov 2023
Graphical estimation of multivariate count time series Sathish Vurukonda Debraj Chakraborty S. Mukhopadhyay 137 0 0 17 Feb 2023
Methods for Recovering Conditional Independence Graphs: A Survey H. Shrivastava Urszula Chajewska CML 65 11 0 13 Nov 2022
uGLAD: Sparse graph recovery by optimizing deep unrolled networks H. Shrivastava Urszula Chajewska Robin Abraham Xinshi Chen 80 8 0 23 May 2022
Graph Learning from Multivariate Dependent Time Series via a Multi-Attribute Formulation Jitendra Tugnait AI4TS CML 40 2 0 29 Apr 2022
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series Jitendra Tugnait 73 6 0 29 Apr 2022
On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series Jitendra Tugnait CML 40 13 0 15 Nov 2021
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs Harish Doddi Deepjyoti Deka Saurav Talukdar M. Salapaka 107 6 0 02 Oct 2021
Graphical models for nonstationary time series Sumanta Basu S. Subba Rao 157 6 0 17 Sep 2021
Time Series Graphical Lasso and Sparse VAR Estimation Aramayis Dallakyan Rakheon Kim Mohsen Pourahmadi AI4TS 122 12 0 04 Jul 2021
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes Hang Yu Songwei Wu Justin Dauwels 68 5 0 16 Sep 2020
Large Spectral Density Matrix Estimation by Thresholding Yiming Sun Yige Li Amy Kuceyeski Sumanta Basu 111 19 0 03 Dec 2018
Spectral Analysis of High-dimensional Time Series M. Fiecas Chenlei Leng Weidong Liu Yi Yu AI4TS 108 29 0 26 Oct 2018
Analysis of Network Lasso for Semi-Supervised Regression A. Jung N. Vesselinova 86 0 0 22 Aug 2018
On The Complexity of Sparse Label Propagation A. Jung 89 10 0 25 Apr 2018
On the Sample Complexity of Graphical Model Selection for Non-Stationary Processes Nguyen Tran Quang Oleksii Abramenko A. Jung 149 4 0 17 Jan 2017
Learning conditional independence structure for high-dimensional uncorrelated vector processes Nguyen Tran Quang A. Jung 107 7 0 13 Sep 2016
A Sparse Linear Model and Significance Test for Individual Consumption Prediction P. Li Baosen Zhang Yang Weng Ram Rajagopal 79 40 0 05 Nov 2015