Trek separation for Gaussian graphical models

10 December 2008

Papers citing "Trek separation for Gaussian graphical models"

15 / 15 papers shown

Title
A matrix algebra for graphical statistical models Qingyuan Zhao 30 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 44 4 0 01 Jun 2024
Faithlessness in Gaussian graphical models Mathias Drton Leonard Henckel Benjamin Hollering Pratik Misra 20 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 13 1 0 28 Dec 2023
Learning Linear Gaussian Polytree Models with Interventions D. Tramontano L. Waldmann Mathias Drton Eliana Duarte 20 0 0 08 Nov 2023
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data Uzma Hasan Emam Hossain Md. Osman Gani CML AI4TS 13 24 0 27 Mar 2023
Testing Many Constraints in Possibly Irregular Models Using Incomplete U-Statistics Nils Sturma Mathias Drton Dennis Leung 26 3 0 24 Aug 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 11 3 0 30 May 2022
Half-Trek Criterion for Identifiability of Latent Variable Models Rina Foygel Barber Mathias Drton Nils Sturma Luca Weihs CML 20 10 0 12 Jan 2022
Graphical continuous Lyapunov models Gherardo Varando N. Hansen 4 17 0 21 May 2020
An Upper Bound for Random Measurement Error in Causal Discovery Tineke Blom A. Klimovskaia Sara Magliacane Joris M. Mooij 17 10 0 18 Oct 2018
Algebraic Equivalence of Linear Structural Equation Models T. V. Ommen Joris M. Mooij 8 5 0 10 Jul 2018
On a parametrization of positive semidefinite matrices with zeros Mathias Drton Josephine Yu 112 19 0 19 Jan 2010
Measuring Latent Causal Structure Ricardo M. A. Silva CML 72 0 0 07 Jan 2010
Algebraic geometry of Gaussian Bayesian networks S. Sullivant 161 60 0 06 Apr 2007