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High-dimensional Gaussian graphical model for network-linked data
v1v2 (latest)

High-dimensional Gaussian graphical model for network-linked data

4 July 2019
Tianxi Li
Cheng Qian
Elizaveta Levina
Ji Zhu
ArXiv (abs)PDFHTML

Papers citing "High-dimensional Gaussian graphical model for network-linked data"

5 / 5 papers shown
Title
Estimation of partially known Gaussian graphical models with score-based
  structural priors
Estimation of partially known Gaussian graphical models with score-based structural priors
Martín Sevilla
Antonio G. Marques
Santiago Segarra
75
3
0
25 Jan 2024
A modelling framework for detecting and leveraging node-level
  information in Bayesian network inference
A modelling framework for detecting and leveraging node-level information in Bayesian network inference
Xiaoyue Xi
H. Ruffieux
31
1
0
06 Sep 2023
A Probabilistic Graph Coupling View of Dimension Reduction
A Probabilistic Graph Coupling View of Dimension Reduction
Hugues van Assel
T. Espinasse
J. Chiquet
F. Picard
66
14
0
31 Jan 2022
Learning with latent group sparsity via heat flow dynamics on networks
Learning with latent group sparsity via heat flow dynamics on networks
Subhro Ghosh
Soumendu Sundar Mukherjee
AI4CE
65
2
0
20 Jan 2022
Sparse Cholesky covariance parametrization for recovering latent
  structure in ordered data
Sparse Cholesky covariance parametrization for recovering latent structure in ordered data
Irene Córdoba
C. Bielza
P. Larrañaga
Gherardo Varando
30
2
0
02 Jun 2020
1