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2006.07506
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Uncertainty Quantification for Inferring Hawkes Networks
12 June 2020
Haoyun Wang
Liyan Xie
Alex Cuozzo
Simon Mak
Yao Xie
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Papers citing
"Uncertainty Quantification for Inferring Hawkes Networks"
9 / 9 papers shown
Title
Deep spatio-temporal point processes: Advances and new directions
Xiuyuan Cheng
Zheng Dong
Yao Xie
AI4TS
69
0
0
08 Apr 2025
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process
Zichong Li
Yanbo Xu
Simiao Zuo
Hao Jiang
Chao Zhang
Tuo Zhao
H. Zha
39
3
0
25 Oct 2023
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length
Katerina Hlaváčková-Schindler
A. Melnykova
I. Tubikanec
58
1
0
05 Sep 2023
Provable local learning rule by expert aggregation for a Hawkes network
Sophie Jaffard
Samuel Vaiter
A. Muzy
Patricia Reynaud-Bouret
44
1
0
17 Apr 2023
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes
S. Wei
Yao Xie
C. Josef
Rishikesan Kamaleswaran
104
10
0
09 Sep 2022
PERCEPT: a new online change-point detection method using topological data analysis
Xiaojun Zheng
Simon Mak
Liyan Xie
Yao Xie
42
5
0
08 Mar 2022
Bayesian Neural Hawkes Process for Event Uncertainty Prediction
Manisha Dubey
Ragja Palakkadavath
P. K. Srijith
BDL
46
7
0
29 Dec 2021
Fine-Grained
ε
ε
ε
-Margin Closed-Form Stabilization of Parametric Hawkes Processes
Rafael Lima
13
0
0
08 May 2021
Sequential change-point detection for mutually exciting point processes over networks
Haoyun Wang
Liyan Xie
Yao Xie
Alex Cuozzo
Simon Mak
35
12
0
10 Feb 2021
1