Multi-Trek Separation in Linear Structural Equation Models
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[1] Seth Sullivant,et al. Positivity for Gaussian graphical models , 2012, Adv. Appl. Math..
[2] S. Wright. The Method of Path Coefficients , 1934 .
[3] M. Drton,et al. High-dimensional causal discovery under non-Gaussianity , 2018, Biometrika.
[4] D. A. Kenny,et al. Correlation and Causation , 1937, Wilmott.
[5] Judea Pearl,et al. Fusion, Propagation, and Structuring in Belief Networks , 1986, Artif. Intell..
[6] S. Gill Williamson,et al. A Comprehensive Introduction to Linear Algebra , 1989 .
[7] Peter Bühlmann,et al. Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm , 2007, J. Mach. Learn. Res..
[8] Aapo Hyvärinen,et al. DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model , 2011, J. Mach. Learn. Res..
[9] Seth Sullivant,et al. Algebraic statistics , 2018, ISSAC.
[10] S. Sullivant,et al. Trek separation for Gaussian graphical models , 2008, 0812.1938.
[11] K. Menger. Zur allgemeinen Kurventheorie , 1927 .
[12] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[13] Elina Robeva,et al. Nested covariance determinants and restricted trek separation in Gaussian graphical models , 2018 .
[14] Marloes H. Maathuis,et al. Structure Learning in Graphical Modeling , 2016, 1606.02359.
[15] Aapo Hyvärinen,et al. A Linear Non-Gaussian Acyclic Model for Causal Discovery , 2006, J. Mach. Learn. Res..
[16] Judea Pearl,et al. Equivalence and Synthesis of Causal Models , 1990, UAI.
[17] Bernd Sturmfels,et al. Algebraic geometry of Bayesian networks , 2005, J. Symb. Comput..
[18] Pierre Comon,et al. Handbook of Blind Source Separation: Independent Component Analysis and Applications , 2010 .
[19] Lieven De Lathauwer,et al. A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization , 2006, SIAM J. Matrix Anal. Appl..
[20] Peter Buhlmann,et al. Geometry of the faithfulness assumption in causal inference , 2012, 1207.0547.
[21] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[22] I. Gessel,et al. Binomial Determinants, Paths, and Hook Length Formulae , 1985 .
[23] R. Evans,et al. Constraints in Gaussian Graphical Models , 2019 .
[24] Yury Polyanskiy,et al. Algebraic methods of classifying directed graphical models , 2014, 2014 IEEE International Symposium on Information Theory.
[25] Anima Anandkumar,et al. Tensor decompositions for learning latent variable models , 2012, J. Mach. Learn. Res..
[26] Aapo Hyvärinen,et al. Pairwise likelihood ratios for estimation of non-Gaussian structural equation models , 2013, J. Mach. Learn. Res..
[27] J. Pearl. Causality: Models, Reasoning and Inference , 2000 .
[28] Patrik O. Hoyer,et al. Discovering Cyclic Causal Models by Independent Components Analysis , 2008, UAI.
[29] D. A. Kenny,et al. Correlation and Causation. , 1982 .
[30] T. Speed,et al. Recursive causal models , 1984, Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics.
[31] B. Lindström. On the Vector Representations of Induced Matroids , 1973 .