Granger Causality: A Review and Recent Advances

5 May 2021

Papers citing "Granger Causality: A Review and Recent Advances"

41 / 41 papers shown

Title
Deep spatio-temporal point processes: Advances and new directions Xiuyuan Cheng Zheng Dong Yao Xie AI4TS 23 0 0 08 Apr 2025
Structured and sparse partial least squares coherence for multivariate cortico-muscular analysis Jingyao Sun Qilu Zhang Di Ma Tianyu Jia Shijie Jia ... Ping-Ju Lin Z. Li Yu Pan Linhong Ji Chong Li 27 0 0 25 Mar 2025
Robust and highly scalable estimation of directional couplings from time-shifted signals Luca Ambrogioni Louis Rouillard Demian Wassermann 47 0 0 28 Jan 2025
STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis Wenhao Dong Y. Li Weiming Zeng Lei Chen Hongjie Yan W. Siok Nizhuan Wang 36 1 0 03 Jan 2025
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data M. Asres C. Omlin the CMS-HCAL Collaboration 69 0 0 16 Dec 2024
Unified Causality Analysis Based on the Degrees of Freedom András Telcs M. T. Kurbucz Antal Jakovác CML 16 0 0 25 Oct 2024
Granger Causality for Mixed Time Series Generalized Linear Models: A Case Study on Multimodal Brain Connectivity Luiza S. C. Piancastelli Wagner Barreto-Souza Norbert Fortin Keiland W Cooper H. Ombao 18 0 0 26 Sep 2024
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning Tieyuan Chen Huabin Liu Tianyao He Yihang Chen Chaofan Gan ... Cheng Zhong Yang Zhang Yingxue Wang Hui Lin Weiyao Lin VGen CML 35 5 0 26 Sep 2024
TFT-multi: simultaneous forecasting of vital sign trajectories in the ICU Rosemary Y. He Jeffrey N. Chiang 31 0 0 23 Sep 2024
MotifDisco: Motif Causal Discovery For Time Series Motifs Josephine Lamp M. Derdzinski Christopher Hannemann Sam Hatfield Joost van der Linden CML AI4TS BDL 23 0 0 23 Sep 2024
Nonlinear Causality in Brain Networks: With Application to Motor Imagery vs Execution Sipan Aslan H. Ombao CML 18 1 0 16 Sep 2024
Automated Knowledge Graph Learning in Industrial Processes Lolitta Ammann Jorge Martínez Gil Michael Mayr Georgios C. Chasparis AI4TS AI4CE 20 0 0 02 Jul 2024
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
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery Lingbai Kong Wengen Li Hanchen Yang Yichao Zhang Jihong Guan Shuigeng Zhou CML AI4TS 35 0 0 24 Jun 2024
Exploring the dynamic interplay of cognitive load and emotional arousal by using multimodal measurements: Correlation of pupil diameter and emotional arousal in emotionally engaging tasks C. Kosel S. Michel T. Seidel M. Foerster 19 1 0 01 Mar 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes Georg Manten Cecilia Casolo E. Ferrucci Søren Wengel Mogensen C. Salvi Niki Kilbertus CML BDL 29 8 0 28 Feb 2024
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity Jiahe Lin Huitian Lei G. Michailidis CML 26 0 0 25 Feb 2024
The Essential Role of Causality in Foundation World Models for Embodied AI Tarun Gupta Wenbo Gong Chao Ma Nick Pawlowski Agrin Hilmkil ... Jianfeng Gao Stefan Bauer Danica Kragic Bernhard Schölkopf Cheng Zhang 28 15 0 06 Feb 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes D. Wu Tsuyoshi Idé Aurélie C. Lozano Georgios Kollias Jivrí Navrátil Naoki Abe Yi-An Ma Rose Yu CML AI4TS 21 2 0 06 Feb 2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs He Zhao V. Kitsios Terry O'Kane Edwin V. Bonilla CML 24 1 0 06 Feb 2024
Nonlinear Permuted Granger Causality Noah D. Gade J. Rodu CML 8 0 0 11 Aug 2023
Causal Inference for Banking Finance and Insurance A Survey Satyam Kumar Yelleti Vivek V. Ravi I. Bose CML 30 3 0 31 Jul 2023
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences Yuequn Liu Ruichu Cai Wei-Neng Chen Jie Qiao Yuguang Yan Zijian Li Keli Zhang Z. Hao CML 18 4 0 25 Jun 2023
Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao Yucheng Shi Shushan Wu Fan Yang Wenzhan Song Ninghao Liu AI4TS 15 6 0 23 May 2023
Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains A. Theocharous G. Gregoriou P. Sapountzis Ioannis Kontoyiannis CML 18 2 0 23 May 2023
CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting Chuanqi Chen Nan Chen Jin-Long Wu 27 9 0 16 Apr 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 16 17 0 17 Mar 2023
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph Silu He Qinyao Luo Ronghua Du Ling Zhao Haifeng Li 26 36 0 30 Oct 2022
Granger causal inference on DAGs identifies genomic loci regulating transcription Rohit Singh Alexander P. Wu Bonnie Berger CML 15 17 0 18 Oct 2022
Causal inference in drug discovery and development T. Michoel J. Zhang CML 20 17 0 29 Sep 2022
Information Theoretic Measures of Causal Influences during Transient Neural Events K. Shao N. Logothetis M. Besserve CML 16 4 0 15 Sep 2022
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran 44 9 0 09 Sep 2022
Feature Selection for Fault Detection and Prediction based on Event Log Analysis Zhong Li M. Leeuwen 21 5 0 19 Aug 2022
Lead-lag detection and network clustering for multivariate time series with an application to the US equity market Stefanos Bennett Mihai Cucuringu G. Reinert AI4TS 17 25 0 20 Jan 2022
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes Xu Wang Ali Shojaie CML 3DPC 26 2 0 22 Sep 2021
DIGRAC: Digraph Clustering Based on Flow Imbalance Yixuan He G. Reinert Mihai Cucuringu AI4CE 30 14 0 09 Jun 2021
Causal Graph Discovery from Self and Mutually Exciting Time Series S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran CML 19 2 0 04 Jun 2021
Causal Inference from Slowly Varying Nonstationary Processes Kang Du Yu Xiang 16 6 0 23 Dec 2020
Statistical Inference for Networks of High-Dimensional Point Processes Xu Wang Mladen Kolar Ali Shojaie 10 11 0 15 Jul 2020
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting Yaguang Li Rose Yu Cyrus Shahabi Yan Liu GNN DiffM AI4TS 47 97 0 06 Jul 2017
Discovering Graphical Granger Causality Using the Truncating Lasso Penalty Ali Shojaie George Michailidis CML 68 214 0 03 Jul 2010