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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"

6 / 6 papers shown
Title
Causal Identification in Time Series Models
Causal Identification in Time Series Models
Erik Jahn
Karthik Karnik
Leonard J. Schulman
CML
AI4TS
59
0
0
28 Apr 2025
Causal Temporal Regime Structure Learning
Causal Temporal Regime Structure Learning
Abdellah Rahmani
Pascal Frossard
CML
61
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
22
4
0
24 Jun 2024
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
73
508
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
43
38
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
63
214
0
03 Jul 2010
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