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Graphical Modeling for Multivariate Hawkes Processes with Nonparametric
  Link Functions

Graphical Modeling for Multivariate Hawkes Processes with Nonparametric Link Functions

22 May 2016
M. Eichler
R. Dahlhaus
J. Dueck
ArXivPDFHTML

Papers citing "Graphical Modeling for Multivariate Hawkes Processes with Nonparametric Link Functions"

17 / 17 papers shown
Title
Cardinality-Regularized Hawkes-Granger Model
Cardinality-Regularized Hawkes-Granger Model
T. Idé
Georgios Kollias
Dzung Phan
Naoki Abe
67
11
0
28 Jan 2025
Nonparametric estimation of Hawkes processes with RKHSs
Nonparametric estimation of Hawkes processes with RKHSs
Anna Bonnet
Maxime Sangnier
29
0
0
01 Nov 2024
Hawkes Processes with Delayed Granger Causality
Hawkes Processes with Delayed Granger Causality
Chao Yang
Hengyuan Miao
Shuang Li
18
0
0
11 Aug 2023
FaDIn: Fast Discretized Inference for Hawkes Processes with General
  Parametric Kernels
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
Guillaume Staerman
Cédric Allain
Alexandre Gramfort
Thomas Moreau
21
5
0
10 Oct 2022
Causal Discovery in Hawkes Processes by Minimum Description Length
Causal Discovery in Hawkes Processes by Minimum Description Length
Amirkasra Jalaldoust
Katerina Hlaváčková-Schindler
Claudia Plant
CML
AI4TS
16
6
0
10 Jun 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
36
2
0
22 Sep 2021
Estimating the interaction graph of stochastic neuronal dynamics by
  observing only pairs of neurons
Estimating the interaction graph of stochastic neuronal dynamics by observing only pairs of neurons
E. Santis
A. Galves
G. Nappo
M. Piccioni
15
5
0
14 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
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
Granger Causality: A Review and Recent Advances
Granger Causality: A Review and Recent Advances
Ali Shojaie
E. Fox
CML
AI4TS
32
258
0
05 May 2021
Visual Causality Analysis of Event Sequence Data
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
Reinforcement Learning with Policy Mixture Model for Temporal Point
  Processes Clustering
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering
Weichang Wu
Junchi Yan
Xiaokang Yang
H. Zha
11
3
0
29 May 2019
Fast Estimation of Causal Interactions using Wold Processes
Fast Estimation of Causal Interactions using Wold Processes
Flavio Figueiredo
Guilherme R. Borges
Pedro O. S. Vaz de Melo
Renato M. Assunção
29
9
0
12 Jul 2018
Nonparametric Hawkes Processes: Online Estimation and Generalization
  Bounds
Nonparametric Hawkes Processes: Online Estimation and Generalization Bounds
Yingxiang Yang
Jalal Etesami
Niao He
Negar Kiyavash
19
5
0
25 Jan 2018
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence
  Clustering
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
Hongteng Xu
H. Zha
25
71
0
31 Jan 2017
Discretization of Self-Exciting Peaks Over Threshold Models
Daisuke Kurisu
19
3
0
19 Dec 2016
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
M. Achab
Emmanuel Bacry
Stéphane Gaïffas
I. Mastromatteo
Jean-François Muzy
38
90
0
21 Jul 2016
Adaptive estimation for Hawkes processes; application to genome analysis
Adaptive estimation for Hawkes processes; application to genome analysis
Patricia Reynaud-Bouret
Sophie Schbath
132
227
0
17 Mar 2009
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