Learning Granger Causality for Hawkes Processes

14 February 2016

Papers citing "Learning Granger Causality for Hawkes Processes"

24 / 24 papers shown

Title
Cardinality-Regularized Hawkes-Granger Model T. Idé Georgios Kollias Dzung Phan Naoki Abe 62 11 0 28 Jan 2025
Nonparametric estimation of Hawkes processes with RKHSs Anna Bonnet Maxime Sangnier 29 0 0 01 Nov 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records Hojjat Karami David Atienza Anisoara Ionescu AI4TS 28 1 0 09 Feb 2024
Hawkes Processes with Delayed Granger Causality Chao Yang Hengyuan Miao Shuang Li 15 0 0 11 Aug 2023
A neural network based model for multi-dimensional nonlinear Hawkes processes Sobin Joseph Shashi Jain 45 2 0 06 Mar 2023
A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution Jun Tao Qian Chen James W. Snyder Arava Sai Kumar A. Meisami Lingzhou Xue 15 3 0 13 Feb 2023
Causal Discovery in Hawkes Processes by Minimum Description Length Amirkasra Jalaldoust Katerina Hlaváčková-Schindler Claudia Plant CML AI4TS 16 6 0 10 Jun 2022
Nonparametric Conditional Local Independence Testing Alexander Mangulad Christgau Lasse Petersen N. Hansen 16 8 0 25 Mar 2022
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals Cédric Allain Alexandre Gramfort Thomas Moreau 20 5 0 08 Dec 2021
Counterfactual Temporal Point Processes Kimia Noorbakhsh Manuel Gomez Rodriguez 19 22 0 15 Nov 2021
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing Ghodai M. Abdelrahman Qing Wang KELM AI4Ed 16 43 0 18 Aug 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
THP: Topological Hawkes Processes for Learning Causal Structure on Event Sequences Ruichu Cai Siyu Wu Jie Qiao Z. Hao Keli Zhang Xi Zhang 31 23 0 23 May 2021
Granger Causality: A Review and Recent Advances Ali Shojaie E. Fox CML AI4TS 32 257 0 05 May 2021
Visual Causality Analysis of Event Sequence Data Zhuochen Jin Shunan Guo Nan Chen Daniel Weiskopf David Gotz Nan Cao CML 16 44 0 01 Sep 2020
Survey on Visual Analysis of Event Sequence Data Yi Guo Shunan Guo Zhuochen Jin Smiti Kaul David Gotz Nan Cao AI4TS 18 103 0 25 Jun 2020
Learning Multivariate Hawkes Processes at Scale Maximilian Nickel Matt Le 32 17 0 28 Feb 2020
Nonparametric Hawkes Processes: Online Estimation and Generalization Bounds Yingxiang Yang Jalal Etesami Niao He Negar Kiyavash 17 5 0 25 Jan 2018
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering Hongteng Xu H. Zha 25 71 0 31 Jan 2017
Uncovering Causality from Multivariate Hawkes Integrated Cumulants M. Achab Emmanuel Bacry Stéphane Gaïffas I. Mastromatteo Jean-François Muzy 33 90 0 21 Jul 2016
Detecting weak changes in dynamic events over networks Shuang Li Yao Xie Mehrdad Farajtabar Apurv Verma Le Song 11 9 0 29 Mar 2016
Multivariate Hawkes Processes for Large-scale Inference Rémi Lemonnier Kevin Scaman Argyris Kalogeratos 9 35 0 26 Feb 2016
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution Mehrdad Farajtabar Yichen Wang Manuel Gomez Rodriguez Shuang Li H. Zha Le Song 28 238 0 08 Jul 2015
Adaptive estimation for Hawkes processes; application to genome analysis Patricia Reynaud-Bouret Sophie Schbath 130 227 0 17 Mar 2009