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Granger Causality: A Review and Recent Advances

Granger Causality: A Review and Recent Advances

5 May 2021
Ali Shojaie
E. Fox
    CML
    AI4TS
ArXivPDFHTML

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

41 / 41 papers shown
Title
Deep spatio-temporal point processes: Advances and new directions
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
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
29
0
0
25 Mar 2025
Robust and highly scalable estimation of directional couplings from time-shifted signals
Robust and highly scalable estimation of directional couplings from time-shifted signals
Luca Ambrogioni
Louis Rouillard
Demian Wassermann
50
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
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
Unified Causality Analysis Based on the Degrees of Freedom
András Telcs
M. T. Kurbucz
Antal Jakovác
CML
18
0
0
25 Oct 2024
Granger Causality for Mixed Time Series Generalized Linear Models: A
  Case Study on Multimodal Brain Connectivity
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
20
0
0
26 Sep 2024
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
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
TFT-multi: simultaneous forecasting of vital sign trajectories in the ICU
Rosemary Y. He
Jeffrey N. Chiang
33
0
0
23 Sep 2024
MotifDisco: Motif Causal Discovery For Time Series Motifs
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
Nonlinear Causality in Brain Networks: With Application to Motor Imagery vs Execution
Sipan Aslan
H. Ombao
CML
20
1
0
16 Sep 2024
Automated Knowledge Graph Learning in Industrial Processes
Automated Knowledge Graph Learning in Industrial Processes
Lolitta Ammann
Jorge Martínez Gil
Michael Mayr
Georgios C. Chasparis
AI4TS
AI4CE
25
0
0
02 Jul 2024
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
34
4
0
24 Jun 2024
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery
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
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
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
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity
Jiahe Lin
Huitian Lei
G. Michailidis
CML
29
0
0
25 Feb 2024
The Essential Role of Causality in Foundation World Models for Embodied
  AI
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
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
26
2
0
06 Feb 2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs
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
Nonlinear Permuted Granger Causality
Noah D. Gade
J. Rodu
CML
13
0
0
11 Aug 2023
Causal Inference for Banking Finance and Insurance A Survey
Causal Inference for Banking Finance and Insurance A Survey
Satyam Kumar
Yelleti Vivek
V. Ravi
I. Bose
CML
33
3
0
31 Jul 2023
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning
  Granger Causal Structure from Event Sequences
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
23
4
0
25 Jun 2023
Interpretation of Time-Series Deep Models: A Survey
Interpretation of Time-Series Deep Models: A Survey
Ziqi Zhao
Yucheng Shi
Shushan Wu
Fan Yang
Wenzhan Song
Ninghao Liu
AI4TS
20
6
0
23 May 2023
Temporally Causal Discovery Tests for Discrete Time Series and Neural
  Spike Trains
Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains
A. Theocharous
G. Gregoriou
P. Sapountzis
Ioannis Kontoyiannis
CML
21
2
0
23 May 2023
CEBoosting: Online Sparse Identification of Dynamical Systems with
  Regime Switching by Causation Entropy Boosting
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
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
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
31
36
0
30 Oct 2022
Granger causal inference on DAGs identifies genomic loci regulating
  transcription
Granger causal inference on DAGs identifies genomic loci regulating transcription
Rohit Singh
Alexander P. Wu
Bonnie Berger
CML
20
17
0
18 Oct 2022
Causal inference in drug discovery and development
Causal inference in drug discovery and development
T. Michoel
J. Zhang
CML
22
17
0
29 Sep 2022
Information Theoretic Measures of Causal Influences during Transient
  Neural Events
Information Theoretic Measures of Causal Influences during Transient Neural Events
K. Shao
N. Logothetis
M. Besserve
CML
18
4
0
15 Sep 2022
Granger Causal Chain Discovery for Sepsis-Associated Derangements via
  Continuous-Time Hawkes Processes
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes
S. Wei
Yao Xie
C. Josef
Rishikesan Kamaleswaran
49
9
0
09 Sep 2022
Feature Selection for Fault Detection and Prediction based on Event Log
  Analysis
Feature Selection for Fault Detection and Prediction based on Event Log Analysis
Zhong Li
M. Leeuwen
26
5
0
19 Aug 2022
Lead-lag detection and network clustering for multivariate time series
  with an application to the US equity market
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
20
25
0
20 Jan 2022
Causal Discovery in High-Dimensional Point Process Networks with Hidden
  Nodes
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes
Xu Wang
Ali Shojaie
CML
3DPC
31
2
0
22 Sep 2021
DIGRAC: Digraph Clustering Based on Flow Imbalance
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
Causal Graph Discovery from Self and Mutually Exciting Time Series
S. Wei
Yao Xie
C. Josef
Rishikesan Kamaleswaran
CML
22
2
0
04 Jun 2021
Causal Inference from Slowly Varying Nonstationary Processes
Causal Inference from Slowly Varying Nonstationary Processes
Kang Du
Yu Xiang
21
6
0
23 Dec 2020
Statistical Inference for Networks of High-Dimensional Point Processes
Statistical Inference for Networks of High-Dimensional Point Processes
Xu Wang
Mladen Kolar
Ali Shojaie
15
11
0
15 Jul 2020
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic
  Forecasting
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
Discovering Graphical Granger Causality Using the Truncating Lasso Penalty
Ali Shojaie
George Michailidis
CML
68
214
0
03 Jul 2010
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