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Estimating Granger Causality with Unobserved Confounders via Deep
  Latent-Variable Recurrent Neural Network

Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network

9 September 2019
Yuan Meng
    CMLBDL
ArXiv (abs)PDFHTML

Papers citing "Estimating Granger Causality with Unobserved Confounders via Deep Latent-Variable Recurrent Neural Network"

2 / 2 papers shown
Title
Embracing the black box: Heading towards foundation models for causal
  discovery from time series data
Embracing the black box: Heading towards foundation models for causal discovery from time series data
Gideon Stein
M. Shadaydeh
Joachim Denzler
CMLAI4TS
69
2
0
14 Feb 2024
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
111
0
11 Feb 2021
1