Learning the Conditional Independence Structure of Stationary Time
Series: A Multitask Learning Approach

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Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach

4 April 2014

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Papers citing "Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach"

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Title
Frequency Domain Statistical Inference for High-Dimensional Time Series J. Krampe E. Paparoditis AI4TS 62 4 0 05 Jun 2022
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series Jitendra Tugnait 65 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
Learning Networked Exponential Families with Network Lasso A. Jung 48 2 0 22 May 2019
On The Complexity of Sparse Label Propagation A. Jung 78 10 0 25 Apr 2018
On the Sample Complexity of Graphical Model Selection for Non-Stationary Processes Nguyen Tran Quang Oleksii Abramenko A. Jung 133 4 0 17 Jan 2017
Learning conditional independence structure for high-dimensional uncorrelated vector processes Nguyen Tran Quang A. Jung 99 7 0 13 Sep 2016
Graphical LASSO Based Model Selection for Time Series A. Jung Gabor Hannak N. Goertz 144 63 0 05 Oct 2014