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Characterizing Signalling: Connections between Causal Inference and
  Space-time Geometry

Characterizing Signalling: Connections between Causal Inference and Space-time Geometry

1 March 2024
Maarten Grothus
V. Vilasini
ArXivPDFHTML

Papers citing "Characterizing Signalling: Connections between Causal Inference and Space-time Geometry"

5 / 5 papers shown
Title
Impossibility of superluminal signalling in Minkowski space-time does
  not rule out causal loops
Impossibility of superluminal signalling in Minkowski space-time does not rule out causal loops
V. Vilasini
R. Colbeck
LRM
AI4CE
20
7
0
26 Jun 2022
A general framework for cyclic and fine-tuned causal models and their
  compatibility with space-time
A general framework for cyclic and fine-tuned causal models and their compatibility with space-time
V. Vilasini
R. Colbeck
17
13
0
24 Sep 2021
Markov Properties for Graphical Models with Cycles and Latent Variables
Markov Properties for Graphical Models with Cycles and Latent Variables
Patrick Forré
Joris M. Mooij
49
72
0
24 Oct 2017
Identifying Independencies in Causal Graphs with Feedback
Identifying Independencies in Causal Graphs with Feedback
Judea Pearl
R. Dechter
CML
86
105
0
13 Feb 2013
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
71
52
0
01 Jun 2011
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