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Identifying Independencies in Causal Graphs with Feedback

Identifying Independencies in Causal Graphs with Feedback

13 February 2013
Judea Pearl
R. Dechter
    CML
ArXiv (abs)PDFHTML

Papers citing "Identifying Independencies in Causal Graphs with Feedback"

20 / 20 papers shown
Title
Robust Causal Analysis of Linear Cyclic Systems With Hidden Confounders
Boris Lorbeer
Axel Küpper
130
0
0
18 Nov 2024
Characterising Interventions in Causal Games
Characterising Interventions in Causal Games
Manuj Mishra
James Fox
Michael Wooldridge
CML
46
0
0
13 Jun 2024
Characterizing Signalling: Connections between Causal Inference and
  Space-time Geometry
Characterizing Signalling: Connections between Causal Inference and Space-time Geometry
Maarten Grothus
V. Vilasini
31
1
0
01 Mar 2024
Establishing Markov Equivalence in Cyclic Directed Graphs
Establishing Markov Equivalence in Cyclic Directed Graphs
Tom Claassen
Joris M. Mooij
55
2
0
01 Sep 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning
  for Medical Imaging
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
Charles Jones
Daniel Coelho De Castro
Fabio De Sousa Ribeiro
Ozan Oktay
Melissa McCradden
Ben Glocker
FaMLCML
108
9
0
31 Jul 2023
On the Foundations of Cycles in Bayesian Networks
On the Foundations of Cycles in Bayesian Networks
C. Baier
Clemens Dubslaff
Holger Hermanns
Nikolai Käfer
45
3
0
20 Jan 2023
Dynamic Causal Bayesian Optimization
Dynamic Causal Bayesian Optimization
Virginia Aglietti
Neil Dhir
Javier I. González
Theodoros Damoulas
71
22
0
26 Oct 2021
Cycles in Causal Learning
Cycles in Causal Learning
Katie Everett
Ian S. Fischer
CML
39
0
0
24 Jul 2020
Structural causal models for macro-variables in time-series
Structural causal models for macro-variables in time-series
Dominik Janzing
Paul Kishan Rubenstein
Bernhard Schölkopf
CML
65
6
0
11 Apr 2018
Interaction-Based Distributed Learning in Cyber-Physical and Social
  Networks
Interaction-Based Distributed Learning in Cyber-Physical and Social Networks
Francesco Sasso
A. Coluccia
G. Notarstefano
FedML
49
8
0
13 Jun 2017
Exact Topology Reconstruction of Radial Dynamical Systems with
  Applications to Distribution System of the Power Grid
Exact Topology Reconstruction of Radial Dynamical Systems with Applications to Distribution System of the Power Grid
Saurav Talukdar
Deepjyoti Deka
D. Materassi
M. Salapaka
49
30
0
02 Mar 2017
Foundations of Structural Causal Models with Cycles and Latent Variables
Foundations of Structural Causal Models with Cycles and Latent Variables
Stephan Bongers
Patrick Forré
J. Peters
Joris M. Mooij
95
167
0
18 Nov 2016
Markov Boundary Discovery with Ridge Regularized Linear Models
Markov Boundary Discovery with Ridge Regularized Linear Models
Eric V. Strobl
Shyam Visweswaran
79
7
0
14 Sep 2015
From Ordinary Differential Equations to Structural Causal Models: the
  deterministic case
From Ordinary Differential Equations to Structural Causal Models: the deterministic case
Joris Mooij
Dominik Janzing
Bernhard Schölkopf
128
105
0
09 Aug 2014
Discovering Cyclic Causal Models with Latent Variables: A General
  SAT-Based Procedure
Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure
Antti Hyttinen
P. Hoyer
F. Eberhardt
Matti Järvisalo
CML
118
90
0
26 Sep 2013
Reasoning about Independence in Probabilistic Models of Relational Data
Reasoning about Independence in Probabilistic Models of Relational Data
Marc E. Maier
Katerina Marazopoulou
David D. Jensen
81
33
0
18 Feb 2013
Bayes-Ball: The Rational Pastime (for Determining Irrelevance and
  Requisite Information in Belief Networks and Influence Diagrams)
Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams)
Ross D. Shachter
98
243
0
30 Jan 2013
Asymmetric separation for local independence graphs
Asymmetric separation for local independence graphs
Vanessa Didelez
109
20
0
27 Jun 2012
Modeling Discrete Interventional Data using Directed Cyclic Graphical
  Models
Modeling Discrete Interventional Data using Directed Cyclic Graphical Models
Mark Schmidt
Kevin P. Murphy
179
40
0
09 May 2012
On Deducing Conditional Independence from d-Separation in Causal Graphs
  with Feedback (Research Note)
On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note)
Radford M. Neal
CML
111
52
0
01 Jun 2011
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