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Identifiability of total effects from abstractions of time series causal
  graphs

Identifiability of total effects from abstractions of time series causal graphs

23 October 2023
Charles K. Assaad
Emilie Devijver
Éric Gaussier
Gregor Gössler
Anouar Meynaoui
    CML
ArXivPDFHTML

Papers citing "Identifiability of total effects from abstractions of time series causal graphs"

5 / 5 papers shown
Title
Identifying Macro Causal Effects in C-DMGs
Identifying Macro Causal Effects in C-DMGs
Simon Ferreira
Charles K. Assaad
CML
111
0
0
02 Apr 2025
Causal reasoning in difference graphs
Causal reasoning in difference graphs
Charles K. Assaad
CML
24
0
0
02 Nov 2024
Average Controlled and Average Natural Micro Direct Effects in Summary
  Causal Graphs
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs
Simon Ferreira
Charles K. Assaad
CML
36
0
0
31 Oct 2024
Identifying macro conditional independencies and macro total effects in
  summary causal graphs with latent confounding
Identifying macro conditional independencies and macro total effects in summary causal graphs with latent confounding
Simon Ferreira
Charles K. Assaad
CML
21
3
0
10 Jul 2024
Toward identifiability of total effects in summary causal graphs with
  latent confounders: an extension of the front-door criterion
Toward identifiability of total effects in summary causal graphs with latent confounders: an extension of the front-door criterion
Charles K. Assaad
CML
18
2
0
09 Jun 2024
1