ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.05299
  4. Cited By
Maximum Likelihood Estimation for Hawkes Processes with self-excitation
  or inhibition
v1v2v3 (latest)

Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibition

9 March 2021
Anna Bonnet
M. Herrera
Maxime Sangnier
ArXiv (abs)PDFHTML

Papers citing "Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibition"

6 / 6 papers shown
Latent Factor Point Processes for Patient Representation in Electronic Health Records
Latent Factor Point Processes for Patient Representation in Electronic Health Records
Parker Knight
Doudou Zhou
Zongqi Xia
T. Cai
Junwei Lu
183
0
0
28 Aug 2025
A neural network based model for multi-dimensional nonlinear Hawkes
  processes
A neural network based model for multi-dimensional nonlinear Hawkes processesJournal of Computational and Applied Mathematics (JCAM), 2023
Sobin Joseph
Shashi Jain
251
2
0
06 Mar 2023
Scalable and adaptive variational Bayes methods for Hawkes processes
Scalable and adaptive variational Bayes methods for Hawkes processes
Déborah Sulem
Vincent Rivoirard
Judith Rousseau
359
3
0
01 Dec 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 ProcessesKnowledge Discovery and Data Mining (KDD), 2022
S. Wei
Yao Xie
C. Josef
Rishikesan Kamaleswaran
488
13
0
09 Sep 2022
Neuronal Network Inference and Membrane Potential Model using
  Multivariate Hawkes Processes
Neuronal Network Inference and Membrane Potential Model using Multivariate Hawkes Processes
Anna Bonnet
Charlotte Dion-Blanc
François Gindraud
Sarah Lemler
240
15
0
02 Aug 2021
Scalable Marked Point Processes for Exchangeable and Non-Exchangeable
  Event Sequences
Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event SequencesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
A. Panos
Ioannis Kosmidis
P. Dellaportas
354
3
0
30 May 2021
1
Page 1 of 1