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Latent Network Structure Learning from High Dimensional Multivariate
  Point Processes
v1v2 (latest)

Latent Network Structure Learning from High Dimensional Multivariate Point Processes

Journal of the American Statistical Association (JASA), 2020
7 April 2020
Biao Cai
Jingfei Zhang
Yongtao Guan
ArXiv (abs)PDFHTML

Papers citing "Latent Network Structure Learning from High Dimensional Multivariate Point Processes"

12 / 12 papers shown
A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
Hideaki Kim
Tomoharu Iwata
108
0
0
10 Oct 2025
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
182
0
0
28 Aug 2025
K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
K2^22IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
Hideaki Kim
Tomoharu Iwata
Akinori Fujino
133
0
0
30 May 2025
ERM-Lasso classification algorithm for Multivariate Hawkes Processes
  paths
ERM-Lasso classification algorithm for Multivariate Hawkes Processes paths
Charlotte Dion‐Blanc
Christophe Denis
Laure Sansonnet
Romain E Lacoste
252
2
0
16 Jul 2024
Deep graph kernel point processes
Deep graph kernel point processes
Zheng Dong
Matthew Repasky
Xiuyuan Cheng
Yao Xie
3DPC
316
5
0
20 Jun 2023
A Graphical Point Process Framework for Understanding Removal Effects in
  Multi-Touch Attribution
A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch AttributionManagement Sciences (MS), 2023
Jun Tao
Qian Chen
James W. Snyder
Arava Sai Kumar
A. Meisami
Lingzhou Xue
237
5
0
13 Feb 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
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes
Xenia Miscouridou
Samir Bhatt
G. Mohler
Seth Flaxman
Swapnil Mishra
166
10
0
21 Oct 2022
Joint Estimation and Inference for Multi-Experiment Networks of
  High-Dimensional Point Processes
Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes
Xu Wang
Ali Shojaie
3DPC
356
5
0
23 Sep 2021
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
CML3DPC
248
4
0
22 Sep 2021
Statistical Inference for Networks of High-Dimensional Point Processes
Statistical Inference for Networks of High-Dimensional Point ProcessesJournal of the American Statistical Association (JASA), 2020
Xu Wang
Mladen Kolar
Ali Shojaie
316
16
0
15 Jul 2020
Group Network Hawkes Process
Group Network Hawkes ProcessJournal of the American Statistical Association (JASA), 2020
Guanhua Fang
Ganggang Xu
Haochen Xu
Xuening Zhu
Yongtao Guan
350
25
0
20 Feb 2020
1
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