ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1701.09177
  4. Cited By
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence
  Clustering

A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering

31 January 2017
Hongteng Xu
H. Zha
ArXivPDFHTML

Papers citing "A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering"

6 / 6 papers shown
Title
What Drives Online Popularity: Author, Content or Sharers? Estimating
  Spread Dynamics with Bayesian Mixture Hawkes
What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes
Pio Calderon
Marian-Andrei Rizoiu
18
1
0
05 Jun 2024
Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a
  Flexible Temporal Prior
Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior
Gael Poux-Medard
Julien Velcin
Sabine Loudcher
19
6
0
15 Sep 2021
Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes
  Process
Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process
Panpan Zheng
Shuhan Yuan
Xintao Wu
Yubao Wu
13
2
0
12 Nov 2019
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
Neural Jump Stochastic Differential Equations
Neural Jump Stochastic Differential Equations
J. Jia
Austin R. Benson
BDL
20
222
0
24 May 2019
Adaptive estimation for Hawkes processes; application to genome analysis
Adaptive estimation for Hawkes processes; application to genome analysis
Patricia Reynaud-Bouret
Sophie Schbath
137
227
0
17 Mar 2009
1