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Adaptive estimation for Hawkes processes; application to genome analysis
v1v2v3v4 (latest)

Adaptive estimation for Hawkes processes; application to genome analysis

17 March 2009
Patricia Reynaud-Bouret
Sophie Schbath
ArXiv (abs)PDFHTML

Papers citing "Adaptive estimation for Hawkes processes; application to genome analysis"

50 / 52 papers shown
Nonparametric estimation of Hawkes processes with RKHSs
Nonparametric estimation of Hawkes processes with RKHSsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Anna Bonnet
Maxime Sangnier
337
3
0
01 Nov 2024
Neural stochastic Volterra equations: learning path-dependent dynamics
Neural stochastic Volterra equations: learning path-dependent dynamics
Martin Bergerhausen
David J. Prömel
David Scheffels
243
0
0
28 Jul 2024
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
185
1
0
16 Jul 2024
CHANI: Correlation-based Hawkes Aggregation of Neurons with
  bio-Inspiration
CHANI: Correlation-based Hawkes Aggregation of Neurons with bio-Inspiration
Sophie Jaffard
Samuel Vaiter
Patricia Reynaud-Bouret
295
0
0
29 May 2024
PCA for Point Processes
PCA for Point Processes
Franck Picard
Vincent Rivoirard
Angelina Roche
Victor Panaretos
209
1
0
30 Apr 2024
Information divergences and likelihood ratios of Poisson processes and
  point patterns
Information divergences and likelihood ratios of Poisson processes and point patterns
Lasse Leskelä
220
5
0
30 Mar 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in
  Electronic Health Records
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records
Hojjat Karami
David Atienza
Anisoara Ionescu
AI4TS
183
4
0
09 Feb 2024
Cumulative Distribution Function based General Temporal Point Processes
Cumulative Distribution Function based General Temporal Point Processes
Xinjian Zhao
Yu Pan
Zenglin Xu
Ruocheng Guo
Xiangyu Zhao
Wanyu Wang
Yiqi Wang
Zitao Liu
Langming Liu
AI4TS
215
0
0
01 Feb 2024
Short-term Temporal Dependency Detection under Heterogeneous Event
  Dynamic with Hawkes Processes
Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes
Yu Chen
Fengpei Li
Anderson Schneider
Yuriy Nevmyvaka
Asohan Amarasingham
Henry Lam
238
1
0
28 May 2023
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
176
2
0
06 Mar 2023
FaDIn: Fast Discretized Inference for Hawkes Processes with General
  Parametric Kernels
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric KernelsInternational Conference on Machine Learning (ICML), 2022
Guillaume Staerman
Cédric Allain
Alexandre Gramfort
Thomas Moreau
423
6
0
10 Oct 2022
Universal Transformer Hawkes Process with Adaptive Recursive Iteration
Universal Transformer Hawkes Process with Adaptive Recursive IterationEngineering applications of artificial intelligence (EAAI), 2021
Lu-ning Zhang
Jian-wei Liu
Zhibin Song
Xin Zuo
216
6
0
29 Dec 2021
Temporal Attention Augmented Transformer Hawkes Process
Temporal Attention Augmented Transformer Hawkes Process
Lu-ning Zhang
Jian Liu
Zhibin Song
Xin Zuo
AI4TS
166
14
0
29 Dec 2021
Survival Analysis of the Compressor Station Based on Hawkes Process with
  Weibull Base Intensity
Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity
Lu-ning Zhang
Jian Liu
Xin Zuo
146
0
0
27 Dec 2021
Tri-Transformer Hawkes Process: Three Heads are better than one
Tri-Transformer Hawkes Process: Three Heads are better than oneInternational Conference on Neural Information Processing (ICONIP), 2021
Zhi-yan Song
Jian Liu
Lu-ning Zhang
Ya-nan Han
106
0
0
24 Dec 2021
An algorithm for the computation of joint Hawkes moments with
  exponential kernel
An algorithm for the computation of joint Hawkes moments with exponential kernelProceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications (ISSSTIA), 2021
Nicolas Privault
147
1
0
25 Oct 2021
Recursive computation of the Hawkes cumulants
Recursive computation of the Hawkes cumulants
Nicolas Privault
104
9
0
14 Dec 2020
Tensor Kernel Recovery for Spatio-Temporal Hawkes Processes
Tensor Kernel Recovery for Spatio-Temporal Hawkes ProcessesIEEE Transactions on Signal Processing (TSP), 2020
Heejune Sheen
Xiao-ning Zhu
Yao Xie
341
5
0
24 Nov 2020
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
261
15
0
15 Jul 2020
Shallow Neural Hawkes: Non-parametric kernel estimation for Hawkes
  processes
Shallow Neural Hawkes: Non-parametric kernel estimation for Hawkes processesJournal of Computer Science (JCS), 2020
Sobin Joseph
L. D. Kashyap
Shashi Jain
153
8
0
03 Jun 2020
Spectral estimation of Hawkes processes from count data
Spectral estimation of Hawkes processes from count dataAnnals of Statistics (Ann. Stat.), 2020
Felix Cheysson
France
217
15
0
09 Mar 2020
The statistical physics of discovering exogenous and endogenous factors
  in a chain of events
The statistical physics of discovering exogenous and endogenous factors in a chain of events
Shinsuke Koyama
S. Shinomoto
201
8
0
02 Mar 2020
Spatial birth-death-move processes : basic properties and estimation of
  their intensity functions
Spatial birth-death-move processes : basic properties and estimation of their intensity functions
F. Lavancier
R. Le Guével
144
12
0
13 Feb 2020
Efficient Simulation of Sparse Graphs of Point Processes
Efficient Simulation of Sparse Graphs of Point Processes
Cyrille Loïc Mascart
A. Muzy
Patricia Reynaud-Bouret
359
1
0
06 Jan 2020
Scalable Inference for Nonparametric Hawkes Process Using
  Pólya-Gamma Augmentation
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation
Feng Zhou
Zhidong Li
Xuhui Fan
Yang Wang
Arcot Sowmya
Fang Chen
150
2
0
29 Oct 2019
Event-scheduling algorithms with Kalikow decomposition for simulating
  potentially infinite neuronal networks
Event-scheduling algorithms with Kalikow decomposition for simulating potentially infinite neuronal networksSN Computer Science (SN Comp. Sci.), 2019
T. Phi
A. Muzy
Patricia Reynaud-Bouret
146
6
0
23 Oct 2019
Meta Learning with Relational Information for Short Sequences
Meta Learning with Relational Information for Short SequencesNeural Information Processing Systems (NeurIPS), 2019
Yujia Xie
Haoming Jiang
Feng Liu
T. Zhao
H. Zha
156
15
0
04 Sep 2019
Self-Attentive Hawkes Processes
Self-Attentive Hawkes Processes
Qiang Zhang
Aldo Lipani
Ömer Kirnap
Emine Yilmaz
AI4TS
449
46
0
17 Jul 2019
Efficient EM-Variational Inference for Hawkes Process
Efficient EM-Variational Inference for Hawkes Process
Feng Zhou
Zhidong Li
Xuhui Fan
Yang Wang
Arcot Sowmya
Fang Chen
170
8
0
29 May 2019
Regenerative properties of the linear hawkes process with unbounded
  memory
Regenerative properties of the linear hawkes process with unbounded memory
C. Graham
135
13
0
27 May 2019
Statistical inference for a partially observed interacting system of
  Hawkes processes
Statistical inference for a partially observed interacting system of Hawkes processes
Chenguang Liu
211
3
0
19 Feb 2019
Nonparametric Bayesian estimation of multivariate Hawkes processes
Nonparametric Bayesian estimation of multivariate Hawkes processes
S. Donnet
Vincent Rivoirard
Judith Rousseau
227
32
0
16 Feb 2018
Network Estimation from Point Process Data
Network Estimation from Point Process Data
Benjamin Mark
Garvesh Raskutti
Rebecca Willett
3DPC
212
29
0
13 Feb 2018
Nonparametric Hawkes Processes: Online Estimation and Generalization
  Bounds
Nonparametric Hawkes Processes: Online Estimation and Generalization Bounds
Yingxiang Yang
Jalal Etesami
Niao He
Negar Kiyavash
215
5
0
25 Jan 2018
Nonparametric estimation of locally stationary Hawkes processe
Nonparametric estimation of locally stationary Hawkes processe
E. Mammen
147
5
0
14 Jul 2017
Time-frequency analysis of locally stationary Hawkes processes
Time-frequency analysis of locally stationary Hawkes processes
François Roueff
R. Sachs
225
15
0
05 Apr 2017
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence
  Clustering
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence ClusteringNeural Information Processing Systems (NeurIPS), 2017
Hongteng Xu
H. Zha
321
75
0
31 Jan 2017
Hawkes Processes with Stochastic Excitations
Hawkes Processes with Stochastic Excitations
Young Lee
Kar Wai Lim
Cheng Soon Ong
217
35
0
22 Sep 2016
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
M. Achab
Emmanuel Bacry
Stéphane Gaïffas
I. Mastromatteo
Jean-François Muzy
279
97
0
21 Jul 2016
Graphical Modeling for Multivariate Hawkes Processes with Nonparametric
  Link Functions
Graphical Modeling for Multivariate Hawkes Processes with Nonparametric Link Functions
M. Eichler
R. Dahlhaus
J. Dueck
174
160
0
22 May 2016
Learning Network of Multivariate Hawkes Processes: A Time Series
  Approach
Learning Network of Multivariate Hawkes Processes: A Time Series Approach
Jalal Etesami
Negar Kiyavash
Kun Zhang
K. Singhal
CMLAI4TS
145
65
0
14 Mar 2016
Learning Granger Causality for Hawkes Processes
Learning Granger Causality for Hawkes Processes
Hongteng Xu
Mehrdad Farajtabar
H. Zha
AI4TSCML
320
242
0
14 Feb 2016
An estimation procedure for the Hawkes process
An estimation procedure for the Hawkes process
Matthias Kirchner
315
93
0
07 Sep 2015
Statistical inference versus mean field limit for Hawkes processes
Statistical inference versus mean field limit for Hawkes processes
S. Delattre
N. Fournier
153
16
0
10 Jul 2015
Cumulants of Hawkes point processes
Cumulants of Hawkes point processes
S. Jovanovic
J. Hertz
S. Rotter
206
48
0
18 Sep 2014
Tracking Dynamic Point Processes on Networks
Tracking Dynamic Point Processes on NetworksIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2014
Eric C. Hall
Rebecca Willett
343
62
0
29 Aug 2014
Second order statistics characterization of Hawkes processes and
  non-parametric estimation
Second order statistics characterization of Hawkes processes and non-parametric estimation
Emmanuel Bacry
Jean-François Muzy
261
34
0
05 Jan 2014
A model of Poissonian interactions and detection of dependence
A model of Poissonian interactions and detection of dependenceStatistics and computing (Stat. Comput.), 2013
Laure Sansonnet
Christine Tuleau-Malot
239
6
0
24 Jan 2013
Lasso and probabilistic inequalities for multivariate point processes
Lasso and probabilistic inequalities for multivariate point processes
N. Hansen
Patricia Reynaud-Bouret
Vincent Rivoirard
525
197
0
02 Aug 2012
Wavelet thresholding estimation in a Poissonian interactions model with
  application to genomic data
Wavelet thresholding estimation in a Poissonian interactions model with application to genomic data
Laure Sansonnet
219
14
0
21 Jul 2011
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