Causal Discovery from Conditionally Stationary Time Series

Causal Discovery from Conditionally Stationary Time Series

12 October 2021

Carles Balsells-Rodas

Hedvig Kjellström

Gabriele Schweikert

Hedvig Kjellstrom

Yingzhen Li

Papers citing "Causal Discovery from Conditionally Stationary Time Series"

4 / 4 papers shown

Title
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data Omar Faruque Sahara Ali Xue Zheng Jianwu Wang AI4TS BDL CML 32 1 0 01 Apr 2024
Case Studies of Causal Discovery from IT Monitoring Time Series Ali Aït-Bachir Charles K. Assaad Christophe de Bignicourt Emilie Devijver Simon Ferreira Éric Gaussier Hosein Mohanna Lei Zan CML AI4TS 10 8 0 28 Jul 2023
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour Rhys Howard Lars Kunze CML 8 7 0 31 Jan 2023
GDBN: a Graph Neural Network Approach to Dynamic Bayesian Network Yang Sun Yifan Xie BDL CML 10 1 0 28 Jan 2023