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

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

11 February 2021

Mansooreh Karami

Anchit Bhattacharya

Huan Liu

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

7 / 7 papers shown

Title
Causal Identification in Time Series Models Erik Jahn Karthik Karnik Leonard J. Schulman CML AI4TS 61 0 0 28 Apr 2025
Causal Temporal Regime Structure Learning Abdellah Rahmani Pascal Frossard CML 67 2 0 20 Feb 2025
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
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals Andrew O'Brien Rosina O. Weber Edward J. Kim CML 19 6 0 29 Dec 2022
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 Yanbo Xu Yanxun Xu S. Saria CML 45 40 0 18 Aug 2016
Discovering Graphical Granger Causality Using the Truncating Lasso Penalty Ali Shojaie George Michailidis CML 68 214 0 03 Jul 2010