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In this paper, we introduce a new directed graphical model from Gaussian data: the Gaussian graphical interaction model (GGIM).
Sparse inverse covariance matrices for low resource speech recognition
W. Zhang and P. Fung · 1906
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Analysis and synthesis of stability matrices
S. Barnett and C. Storey · 1967
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On diagonal dominance arguments for bounding ‖ A − 1 ‖ ∞ \|{A}^{-1}\|_{\infty}
R. S. Varga · 1976
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Local computations with probabilities on graphical structures and their appications to expert systems
S. L. Lauritzen and D. J. Spiegelhalter · 1988
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Structure Equations with Latent Variables
K. Bollen · 1989
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Stochastic Differential Equations: Theory and Applications
L. Arnold · 1992
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Graphical Models
Steffen L. Lauritzen · 1996
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Learning equivalence classes of bayesian-network structures
D. M. Chickering · 2002
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An introduction to Multivarite statistical analysis
T. W. Anderson · 2003
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Strong faithfulness and uniform consistency in causal inference
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Causal protein-signaling networks derived from multiparameter single-cell data
K. Sachs, O Perez, D Pe’er, D. A. Lauffenburger, and G. P. Nolan · 2005
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Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data
O. Banerjee, L. E. Ghaoui, and A. d’Aspremont · 2008
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Coordinate descent algorithms for lasso penalized regression
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Graphical Models in Applied Multivariate Statistics
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Robustness of noisy consensus dynamics with directed communication
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Statistical Learning with Sparsity: The LASSO and Generalizations
T. Hastie, R. Tibshirani, and M. Wainwright · 2015
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Graphvar: a user-friendly toolbox for comprehensive graph analyses of functional brain connectivity
J. D. Kruschwitz, D. List, L. Waller, M. Rubinov, and H. Walter · 2015
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l 0 l_{0} sparse inverse covariance estimation
G. Marjanovic and A. O. Hero · 2015
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On estimation of the diagonal elements of a sparse precision matrix
S. Balmand and A. S. Dalalyan · 2016
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Topology identification of undirected consensus networks via sparse inverse covariance estimation
S. Hassan-Moghaddam, N. K. Dhingra, and M. R. Jovanovic · 2016
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Scene labeling using sparse precision matrix
N. Souly and M. Shah · 2016
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Sparse inverse covariance matrix estimation using quadratic approximation
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Newton-like methods for sparse inverse covariance estimation
Figen Oztoprak, Jorge Nocedal, Steven Rennie, and Peder A Olsen · 2012
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On l q l_{q} optimization and sparse inverse covariance selection
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A new notion of effective resistance for directed graphs—part I: Definition and properties
G. F. Young, L. Scardovi, and N. E. Leonard · 2016
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Effective resistance preserving directed graph symmetrization
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Graphical continuous lyapunov models
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