ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.14691
  4. Cited By
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
204
0
0
02 Apr 2025
Causal reasoning in difference graphs
Causal reasoning in difference graphs
Charles K. Assaad
CML
31
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
43
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
26
4
0
10 Jul 2024
Towards identifiability of micro total effects in summary causal graphs with latent confounding: extension of the front-door criterion
Towards identifiability of micro total effects in summary causal graphs with latent confounding: extension of the front-door criterion
Charles K. Assaad
CML
30
2
0
09 Jun 2024
1