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Half-Trek Criterion for Identifiability of Latent Variable Models

Half-Trek Criterion for Identifiability of Latent Variable Models

12 January 2022
Rina Foygel Barber
Mathias Drton
Nils Sturma
Luca Weihs
    CML
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Papers citing "Half-Trek Criterion for Identifiability of Latent Variable Models"

7 / 7 papers shown
Title
Using Time Structure to Estimate Causal Effects
Using Time Structure to Estimate Causal Effects
Tom Hochsprung
Jakob Runge
Andreas Gerhardus
CML
29
0
0
15 Apr 2025
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved
  Confounding
Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding
Daniela Schkoda
Elina Robeva
Mathias Drton
CML
26
0
0
09 Aug 2024
Causal Effect Identification in LiNGAM Models with Latent Confounders
Causal Effect Identification in LiNGAM Models with Latent Confounders
D. Tramontano
Yaroslav Kivva
Saber Salehkaleybar
Mathias Drton
Negar Kiyavash
CML
21
0
0
04 Jun 2024
Parameter identification in linear non-Gaussian causal models under
  general confounding
Parameter identification in linear non-Gaussian causal models under general confounding
D. Tramontano
Mathias Drton
Jalal Etesami
CML
21
1
0
31 May 2024
Identifiability in Continuous Lyapunov Models
Identifiability in Continuous Lyapunov Models
Philipp Dettling
R. Homs
Carlos Améndola
Mathias Drton
N. Hansen
20
8
0
08 Sep 2022
Identifying Causal Effects with Computer Algebra
Identifying Causal Effects with Computer Algebra
L. Garcia
Sarah Spielvogel
S. Sullivant
CML
80
38
0
22 Jul 2010
Trek separation for Gaussian graphical models
Trek separation for Gaussian graphical models
S. Sullivant
Kelli Talaska
J. Draisma
117
124
0
10 Dec 2008
1