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Joint Estimation of Multiple Graphical Models from High Dimensional Time
  Series

Joint Estimation of Multiple Graphical Models from High Dimensional Time Series

1 November 2013
Huitong Qiu
Fang Han
Han Liu
B. Caffo
ArXivPDFHTML

Papers citing "Joint Estimation of Multiple Graphical Models from High Dimensional Time Series"

10 / 10 papers shown
Title
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
P. Abry
G. Didier
Oliver Orejola
H. Wendt
91
0
0
30 Jan 2025
Latent Multimodal Functional Graphical Model Estimation
Latent Multimodal Functional Graphical Model Estimation
Katherine Tsai
Boxin Zhao
Oluwasanmi Koyejo
Mladen Kolar
32
4
0
31 Oct 2022
Joint Gaussian Graphical Model Estimation: A Survey
Joint Gaussian Graphical Model Estimation: A Survey
Katherine Tsai
Oluwasanmi Koyejo
Mladen Kolar
CML
41
20
0
19 Oct 2021
Graphical models for nonstationary time series
Graphical models for nonstationary time series
Sumanta Basu
S. Subba Rao
85
6
0
17 Sep 2021
Online Structural Change-point Detection of High-dimensional Streaming
  Data via Dynamic Sparse Subspace Learning
Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning
Ruiyu Xu
Jianguo Wu
Xiaowei Yue
Yongxiang Li
30
8
0
24 Sep 2020
Dynamic Multivariate Functional Data Modeling via Sparse Subspace
  Learning
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning
Chen Zhang
Hao Yan
Seungho Lee
Jianjun Shi
23
34
0
11 Apr 2018
Finding Differentially Covarying Needles in a Temporally Evolving
  Haystack: A Scan Statistics Perspective
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective
Ronak R. Mehta
Hyunwoo J. Kim
Shulei Wang
Sterling C. Johnson
Ming Yuan
Vikas Singh
24
0
0
20 Nov 2017
A constrained L1 minimization approach for estimating multiple Sparse
  Gaussian or Nonparanormal Graphical Models
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models
Beilun Wang
Ritambhara Singh
Yanjun Qi
24
12
0
11 May 2016
A Direct Estimation of High Dimensional Stationary Vector
  Autoregressions
A Direct Estimation of High Dimensional Stationary Vector Autoregressions
Fang Han
Huanran Lu
Han Liu
68
120
0
01 Jul 2013
Time Varying Undirected Graphs
Time Varying Undirected Graphs
Shuheng Zhou
John D. Lafferty
Larry A. Wasserman
119
240
0
20 Feb 2008
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