Clustering then estimation of spatio-temporal self-exciting processes
| Year of publication: |
2025
|
|---|---|
| Authors: | Zhang, Haoting ; Zhan, Donglin ; Anderson, James ; Righter, Rhonda ; Zheng, Zeyu |
| Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 37.2025, 4, p. 874-893
|
| Subject: | clustering algorithm | maximum likelihood estimation | spatio-temporal self-exciting point process | Regionales Cluster | Regional cluster | Maximum-Likelihood-Schätzung | Maximum likelihood estimation | Clusteranalyse | Cluster analysis | Schätztheorie | Estimation theory | Algorithmus | Algorithm |
-
Clustering Product Development Project Organization From the Perspective of Social Network Analysis
Yang, Qing, (2022)
-
Quant investing in cluster portfolios
Akansu, Ali N., (2020)
-
A new methodology to cluster derivative product modules : an application
Aydin, Merve, (2016)
- More ...
-
A doubly stochastic simulator with applications in arrivals modeling and simulation
Zheng, Yufeng, (2025)
-
Stochastic localization methods for convex discrete optimization via simulation
Zhang, Haixiang, (2025)
-
Offline planning and online learning under recovering rewards
Simchi-Levi, David, (2025)
- More ...