The Ancestor Hawkes Process with an Application to Group Chat Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Ross, Gordon J, Deutsch, Isabella |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Bayesian Modelling of Nonstationary Extreme Values Using a Nonparametric Hawkes Process
por: Ross, Gordon J., et al.
Publicado: (2026)
por: Ross, Gordon J., et al.
Publicado: (2026)
Ancestor regression in structural vector autoregressive models
por: Schultheiss, Christoph, et al.
Publicado: (2024)
por: Schultheiss, Christoph, et al.
Publicado: (2024)
Hawkes Models And Their Applications
por: Laub, Patrick J., et al.
Publicado: (2024)
por: Laub, Patrick J., et al.
Publicado: (2024)
Hawkes Processes with Variable Length Memory: Existence, Inference and Application to Neuronal Activity
por: Quayle, Sacha, et al.
Publicado: (2025)
por: Quayle, Sacha, et al.
Publicado: (2025)
Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation
por: Ross, Gordon J.
Publicado: (2021)
por: Ross, Gordon J.
Publicado: (2021)
Multivariate Representations of Univariate Marked Hawkes Processes
por: Davis, Louis, et al.
Publicado: (2024)
por: Davis, Louis, et al.
Publicado: (2024)
Neural Networks for Parameter Estimation of the Discretely Observed Hawkes Process
por: Lambe, Jason J., et al.
Publicado: (2025)
por: Lambe, Jason J., et al.
Publicado: (2025)
Bayesian Nonparametric Marked Hawkes Processes for Earthquake Modeling
por: Kim, Hyotae, et al.
Publicado: (2025)
por: Kim, Hyotae, et al.
Publicado: (2025)
Flexible and Scalable Bayesian Modelling of Spatio-Temporal Hawkes Processes
por: Liu, Wenqing, et al.
Publicado: (2026)
por: Liu, Wenqing, et al.
Publicado: (2026)
Improvements on Scalable Stochastic Bayesian Inference Methods for Multivariate Hawkes Process
por: Jiang, Alex Ziyu, et al.
Publicado: (2023)
por: Jiang, Alex Ziyu, et al.
Publicado: (2023)
Location Tests with Noisy Proxies for Latent Variables
por: Deutsch, Louis, et al.
Publicado: (2025)
por: Deutsch, Louis, et al.
Publicado: (2025)
Functional Laplace Transform of a Multivariate Hawkes Process, Subsequent Characteristics, and Numerical Approximations
por: Vieille, Bartholomé, et al.
Publicado: (2025)
por: Vieille, Bartholomé, et al.
Publicado: (2025)
A System-Theoretic Approach to Hawkes Process Identification with Guaranteed Positivity and Stability
por: Rong, Xinhui, et al.
Publicado: (2026)
por: Rong, Xinhui, et al.
Publicado: (2026)
Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
por: Lacoste, Romain Edmond
Publicado: (2025)
por: Lacoste, Romain Edmond
Publicado: (2025)
Bayesian inference for aggregated Hawkes processes
por: Zhou, Lingxiao, et al.
Publicado: (2022)
por: Zhou, Lingxiao, et al.
Publicado: (2022)
Grouped Orthogonal Arrays and Their Applications
por: Chen, Guangzhou, et al.
Publicado: (2025)
por: Chen, Guangzhou, et al.
Publicado: (2025)
Spectral analysis for the inference of noisy Hawkes processes
por: Bonnet, Anna, et al.
Publicado: (2024)
por: Bonnet, Anna, et al.
Publicado: (2024)
Meta-Analysis with Untrusted Data
por: Kaul, Shiva, et al.
Publicado: (2024)
por: Kaul, Shiva, et al.
Publicado: (2024)
Nonparametric estimation of Hawkes processes with RKHSs
por: Bonnet, Anna, et al.
Publicado: (2024)
por: Bonnet, Anna, et al.
Publicado: (2024)
Testing procedures based on maximum likelihood estimation for Marked Hawkes processes
por: Bonnet, Anna, et al.
Publicado: (2024)
por: Bonnet, Anna, et al.
Publicado: (2024)
Hierarchical Dirichlet Process Mixture of Products of Multinomial Distributions: Applications to Survey Data with Potentially Missing Values
por: Wongkamthong, Chayut
Publicado: (2024)
por: Wongkamthong, Chayut
Publicado: (2024)
A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
por: Gosnell, Arron, et al.
Publicado: (2024)
por: Gosnell, Arron, et al.
Publicado: (2024)
Conditional Selective Inference for the Selected Groups in Panel Data
por: Wan, Chuang, et al.
Publicado: (2025)
por: Wan, Chuang, et al.
Publicado: (2025)
Robust and Data-Adaptive Integration of Nonconcurrent Data in Platform Trials via Gaussian Processes
por: Qian, Yuhan, et al.
Publicado: (2026)
por: Qian, Yuhan, et al.
Publicado: (2026)
Estimating the Hawkes process from a discretely observed sample path
por: Chen, Feng, et al.
Publicado: (2024)
por: Chen, Feng, et al.
Publicado: (2024)
Inference for Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
por: Wang, Shuwan, et al.
Publicado: (2025)
por: Wang, Shuwan, et al.
Publicado: (2025)
Post-selection Inference in Regression Models for Group Testing Data
por: Shen, Qinyan, et al.
Publicado: (2025)
por: Shen, Qinyan, et al.
Publicado: (2025)
Fitting multivariate Hawkes processes to interval count data with an application to terrorist activity modelling -- a particle Markov chain Monte Carlo approach
por: Lambe, Jason J., et al.
Publicado: (2025)
por: Lambe, Jason J., et al.
Publicado: (2025)
Cardinality-Regularized Hawkes-Granger Model
por: Idé, Tsuyoshi, et al.
Publicado: (2022)
por: Idé, Tsuyoshi, et al.
Publicado: (2022)
A Markov switching discrete-time Hawkes process: application to the monitoring of bats behavior
por: Bonnet, Anna, et al.
Publicado: (2025)
por: Bonnet, Anna, et al.
Publicado: (2025)
Fast Nonseparable Gaussian Stochastic Process with Application to Methylation Level Interpolation
por: Gu, Mengyang, et al.
Publicado: (2017)
por: Gu, Mengyang, et al.
Publicado: (2017)
Nonlinear Causal Discovery for Grouped Data
por: Göbler, Konstantin, et al.
Publicado: (2025)
por: Göbler, Konstantin, et al.
Publicado: (2025)
Semiparametric estimation for multivariate Hawkes processes using dependent Dirichlet processes: An application to order flow data in financial markets
por: Jiang, Alex Ziyu, et al.
Publicado: (2025)
por: Jiang, Alex Ziyu, et al.
Publicado: (2025)
Bias-Reduced Estimation of Finite Mixtures: An Application to Latent Group Structures in Panel Data
por: Langevin, Raphaël
Publicado: (2026)
por: Langevin, Raphaël
Publicado: (2026)
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
por: Rudner, Tim G. J., et al.
Publicado: (2024)
por: Rudner, Tim G. J., et al.
Publicado: (2024)
Data Analytics for Intermodal Freight Transportation Applications
por: Huynh, Nathan, et al.
Publicado: (2024)
por: Huynh, Nathan, et al.
Publicado: (2024)
Hawkes Identification with a Prescribed Causal Basis: Closed-Form Estimators and Asymptotics
por: Rong, Xinhui, et al.
Publicado: (2026)
por: Rong, Xinhui, et al.
Publicado: (2026)
Estimating Counterfactual Matrix Means with Short Panel Data
por: Lei, Lihua, et al.
Publicado: (2023)
por: Lei, Lihua, et al.
Publicado: (2023)
K-Means Panel Data Clustering in the Presence of Small Groups
por: Nishi, Mikihito
Publicado: (2025)
por: Nishi, Mikihito
Publicado: (2025)
Methods to Calculate the Upper Bound of Gini Coefficient Based on Grouped Data and the Result for China
por: Shi, Pixu, et al.
Publicado: (2013)
por: Shi, Pixu, et al.
Publicado: (2013)
Ejemplares similares
-
Bayesian Modelling of Nonstationary Extreme Values Using a Nonparametric Hawkes Process
por: Ross, Gordon J., et al.
Publicado: (2026) -
Ancestor regression in structural vector autoregressive models
por: Schultheiss, Christoph, et al.
Publicado: (2024) -
Hawkes Models And Their Applications
por: Laub, Patrick J., et al.
Publicado: (2024) -
Hawkes Processes with Variable Length Memory: Existence, Inference and Application to Neuronal Activity
por: Quayle, Sacha, et al.
Publicado: (2025) -
Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation
por: Ross, Gordon J.
Publicado: (2021)