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Causal Inference for Time series Analysis: Problems, Methods and
  Evaluation

Causal Inference for Time series Analysis: Problems, Methods and Evaluation

11 February 2021
Raha Moraffah
Paras Sheth
Mansooreh Karami
Anchit Bhattacharya
Qianru Wang
Anique Tahir
A. Raglin
Huan Liu
    CML
    AI4TS
ArXivPDFHTML

Papers citing "Causal Inference for Time series Analysis: Problems, Methods and Evaluation"

12 / 12 papers shown
Title
Causal Identification in Time Series Models
Causal Identification in Time Series Models
Erik Jahn
Karthik Karnik
Leonard J. Schulman
CML
AI4TS
64
0
0
28 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
76
1
0
18 Mar 2025
Causal Temporal Regime Structure Learning
Causal Temporal Regime Structure Learning
Abdellah Rahmani
Pascal Frossard
CML
75
2
0
20 Feb 2025
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
Chang Gong
Di Yao
Lei Zhang
Sheng Chen
Wenbin Li
Yueyang Su
Jingping Bi
34
4
0
24 Jun 2024
Discovering Causal Relations and Equations from Data
Discovering Causal Relations and Equations from Data
Gustau Camps-Valls
Andreas Gerhardus
Urmi Ninad
Gherardo Varando
Georg Martius
E. Balaguer-Ballester
Ricardo Vinuesa
Emiliano Díaz
L. Zanna
Jakob Runge
PINN
AI4Cl
AI4CE
CML
35
72
0
21 May 2023
A Survey on Causal Discovery: Theory and Practice
A Survey on Causal Discovery: Theory and Practice
Alessio Zanga
Fabio Stella
CML
24
37
0
17 May 2023
Quantifying Causes of Arctic Amplification via Deep Learning based
  Time-series Causal Inference
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference
Sahara Ali
Omar Faruque
Yiyi Huang
Md. Osman Gani
Aneesh Subramanian
Nicole-Jienne Shchlegel
Jianwu Wang
CML
30
3
0
22 Feb 2023
Investigating Sindy As a Tool For Causal Discovery In Time Series
  Signals
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals
Andrew O'Brien
Rosina O. Weber
Edward J. Kim
CML
27
6
0
29 Dec 2022
Applications of statistical causal inference in software engineering
Applications of statistical causal inference in software engineering
Julien Siebert
CML
12
31
0
21 Nov 2022
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
75
512
0
29 Nov 2016
A Bayesian Nonparametric Approach for Estimating Individualized
  Treatment-Response Curves
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves
Yanbo Xu
Yanxun Xu
S. Saria
CML
51
40
0
18 Aug 2016
Discovering Graphical Granger Causality Using the Truncating Lasso
  Penalty
Discovering Graphical Granger Causality Using the Truncating Lasso Penalty
Ali Shojaie
George Michailidis
CML
68
214
0
03 Jul 2010
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