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. 1206.5246
  4. Cited By
Causal Reasoning in Graphical Time Series Models

Causal Reasoning in Graphical Time Series Models

20 June 2012
M. Eichler
Vanessa Didelez
    CMLAI4TS
ArXiv (abs)PDFHTML

Papers citing "Causal Reasoning in Graphical Time Series Models"

11 / 11 papers shown
Title
Identifiability by common backdoor in summary causal graphs of time series
Identifiability by common backdoor in summary causal graphs of time series
Clément Yvernes
Charles K. Assaad
Emilie Devijver
Éric Gaussier
CML
42
0
0
17 Jun 2025
Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
Clément Yvernes
Emilie Devijver
Éric Gaussier
CML
36
1
0
17 Jun 2025
Using Time Structure to Estimate Causal Effects
Using Time Structure to Estimate Causal Effects
Tom Hochsprung
Jakob Runge
Andreas Gerhardus
CML
87
0
0
15 Apr 2025
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation
Ashraf Ghiye
Baptiste Barreau
Laurent Carlier
Michalis Vazirgiannis
133
7
0
18 Mar 2025
Root Cause Identification for Collective Anomalies in Time Series given
  an Acyclic Summary Causal Graph with Loops
Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops
Charles K. Assaad
Imad Ez-zejjari
Lei Zan
AI4TS
55
21
0
07 Mar 2023
Weak equivalence of local independence graphs
Weak equivalence of local independence graphs
Søren Wengel Mogensen
79
3
0
24 Feb 2023
Neural graphical modelling in continuous-time: consistency guarantees
  and algorithms
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
Alexis Bellot
K. Branson
M. Schaar
CMLAI4TS
96
46
0
06 May 2021
Causal Inference for Time series Analysis: Problems, Methods and
  Evaluation
Causal Inference for Time series Analysis: Problems, Methods and Evaluation
Raha Moraffah
Paras Sheth
Mansooreh Karami
Anchit Bhattacharya
Qianru Wang
Anique Tahir
A. Raglin
Huan Liu
CMLAI4TS
113
110
0
11 Feb 2021
Causal Modeling of Dynamical Systems
Causal Modeling of Dynamical Systems
Stephan Bongers
Tineke Blom
Joris M. Mooij
73
24
0
23 Mar 2018
The Temporal Logic of Causal Structures
The Temporal Logic of Causal Structures
Samantha Kleinberg
B. Mishra
CML
81
63
0
09 May 2012
Learning Why Things Change: The Difference-Based Causality Learner
Learning Why Things Change: The Difference-Based Causality Learner
M. Voortman
D. Dash
Marek J Druzdzel
CML
96
41
0
15 Mar 2012
1