Trek separation for Gaussian graphical models

10 December 2008

Papers citing "Trek separation for Gaussian graphical models"

24 / 24 papers shown

Title
Using Time Structure to Estimate Causal Effects Tom Hochsprung Jakob Runge Andreas Gerhardus CML 29 0 0 15 Apr 2025
A matrix algebra for graphical statistical models Qingyuan Zhao 34 1 0 22 Jul 2024
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong Guan-Hong Chen Biwei Huang Eric P. Xing Yuejie Chi Kun Zhang 46 4 0 01 Jun 2024
Faithlessness in Gaussian graphical models Mathias Drton Leonard Henckel Benjamin Hollering Pratik Misra 35 1 0 08 Apr 2024
On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors Xinshuai Dong Haoyue Dai Yewen Fan Songyao Jin Sathyamoorthy Rajendran Kun Zhang CML 21 1 0 28 Dec 2023
Learning Linear Gaussian Polytree Models with Interventions D. Tramontano L. Waldmann Mathias Drton Eliana Duarte 31 0 0 08 Nov 2023
Entropic covariance models Piotr Zwiernik 22 2 0 06 Jun 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 17 24 0 27 Mar 2023
Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics Nils Sturma Mathias Drton Dennis Leung 28 3 0 24 Aug 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 16 3 0 30 May 2022
Order-based Structure Learning without Score Equivalence Hyunwoong Chang James Cai Quan Zhou CML OffRL 11 3 0 10 Feb 2022
Half-Trek Criterion for Identifiability of Latent Variable Models Rina Foygel Barber Mathias Drton Nils Sturma Luca Weihs CML 28 10 0 12 Jan 2022
Computing Maximum Likelihood Estimates for Gaussian Graphical Models with Macaulay2 Carlos Améndola Luis David García Puente R. Homs Olga Kuznetsova Harshit J. Motwani 21 2 0 21 Dec 2020
Graphical continuous Lyapunov models Gherardo Varando N. Hansen 21 17 0 21 May 2020
An Upper Bound for Random Measurement Error in Causal Discovery Tineke Blom A. Klimovskaia Sara Magliacane Joris M. Mooij 24 10 0 18 Oct 2018
Algebraic Equivalence of Linear Structural Equation Models T. V. Ommen Joris M. Mooij 24 5 0 10 Jul 2018
Computation of maximum likelihood estimates in cyclic structural equation models Mathias Drton C. Fox Y Samuel Wang 27 16 0 11 Oct 2016
Wald tests of singular hypotheses Mathias Drton Han Xiao 56 33 0 24 Apr 2013
Geometry of the faithfulness assumption in causal inference Caroline Uhler Garvesh Raskutti Peter Buhlmann B. Yu 52 217 0 02 Jul 2012
Geometry of maximum likelihood estimation in Gaussian graphical models Caroline Uhler 87 84 0 13 Dec 2010
Identifying Causal Effects with Computer Algebra L. Garcia Sarah Spielvogel S. Sullivant CML 82 38 0 22 Jul 2010
On a parametrization of positive semidefinite matrices with zeros Mathias Drton Josephine Yu 118 19 0 19 Jan 2010
Measuring Latent Causal Structure Ricardo M. A. Silva CML 83 0 0 07 Jan 2010
Algebraic geometry of Gaussian Bayesian networks S. Sullivant 169 60 0 06 Apr 2007