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

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

4 April 2014
A. Jung
ArXivPDFHTML

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

5 / 5 papers shown
Title
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series
Jitendra Tugnait
23
6
0
29 Apr 2022
On Sparse High-Dimensional Graphical Model Learning For Dependent Time
  Series
On Sparse High-Dimensional Graphical Model Learning For Dependent Time Series
Jitendra Tugnait
CML
23
13
0
15 Nov 2021
Learning conditional independence structure for high-dimensional
  uncorrelated vector processes
Learning conditional independence structure for high-dimensional uncorrelated vector processes
Nguyen Tran Quang
A. Jung
15
7
0
13 Sep 2016
Graphical LASSO Based Model Selection for Time Series
Graphical LASSO Based Model Selection for Time Series
A. Jung
Gabor Hannak
N. Goertz
28
64
0
05 Oct 2014
Taking Advantage of Sparsity in Multi-Task Learning
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
181
292
0
09 Mar 2009
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