Cover Image

Flexible and Scalable Bayesian Modelling of Spatio-Temporal Hawkes Processes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Wenqing, Miscouridou, Xenia, Sulem, Déborah
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Posterior concentration in spatio-temporal Hawkes processes
by: Miscouridou, Xenia, et al.
Published: (2026)

Dynamic sparse graphs with overlapping communities
by: Miscouridou, Xenia, et al.
Published: (2025)

Bayesian computation for high-dimensional Gaussian Graphical Models with spike-and-slab priors
by: Sulem, Deborah, et al.
Published: (2025)

Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities
by: Todeschini, Adrien, et al.
Published: (2016)

Improvements on Scalable Stochastic Bayesian Inference Methods for Multivariate Hawkes Process
by: Jiang, Alex Ziyu, et al.
Published: (2023)

The Bayesian Gaussian Process Latent Variable Model for Spatio-Temporal Stream Networks
by: Basson, Marno, et al.
Published: (2026)

Bayesian Nonparametric Marked Hawkes Processes for Earthquake Modeling
by: Kim, Hyotae, et al.
Published: (2025)

Bayesian Levy-Dynamic Spatio-Temporal Process: Towards Big Data Analysis
by: Bhattacharya, Sourabh
Published: (2021)

Multivariate Spatio-Temporal Neural Hawkes Processes
by: Chukwuemeka, Christopher, et al.
Published: (2026)

Bayesian Modelling of Nonstationary Extreme Values Using a Nonparametric Hawkes Process
by: Ross, Gordon J., et al.
Published: (2026)

A Dynamical Model for Spatio-Temporal Processes Motivated by Second-Order Partial Differential Equations
by: Zhang, Yutong, et al.
Published: (2025)

Amortized Bayesian Inference for Spatio-Temporal Extremes: A Copula Factor Model with Autoregression
by: Pasquier, Carlos A., et al.
Published: (2025)

Bayesian Sociality Models: A Scalable and Flexible Alternative for Network Analysis
by: Sosa, Juan, et al.
Published: (2025)

Bayesian inference for aggregated Hawkes processes
by: Zhou, Lingxiao, et al.
Published: (2022)

On the PM2.5 -- Mortality Association: A Bayesian Model for Spatio-Temporal Confounding
by: Zaccardi, Carlo, et al.
Published: (2024)

Intrinsic Random Functions and Parametric Covariance Models of Spatio-Temporal Random Processes on the Sphere
by: Kim, Jongwook, et al.
Published: (2025)

Robust and Conjugate Spatio-Temporal Gaussian Processes
by: Laplante, William, et al.
Published: (2025)

Flexible Modeling of Demographic Transition Processes with a Bayesian Hierarchical B-splines Model
by: Susmann, Herbert, et al.
Published: (2023)

Composite Dyadic Models for Spatio-Temporal Data
by: Schwob, Michael R, et al.
Published: (2023)

Multivariate Representations of Univariate Marked Hawkes Processes
by: Davis, Louis, et al.
Published: (2024)

A New Spatio-Temporal Model Exploiting Hamiltonian Equations
by: Mazumder, Satyaki, et al.
Published: (2022)

Matrix-Variate Regression Model for Multivariate Spatio-Temporal Data
by: Diniz, Carlos A. Ribeiro, et al.
Published: (2025)

Robust Spatio-Temporal Distributional Regression
by: Momozaki, Tomotaka, et al.
Published: (2025)

Estimation in linear high dimensional Hawkes processes: a Bayesian approach
by: Rousseau, Judith, et al.
Published: (2025)

Bayesian Additive Regression Tree Copula Processes for Scalable Distributional Prediction
by: Wenkel, Jan Martin, et al.
Published: (2026)

A Bayesian INLA-SPDE Approach to Spatio-Temporal Point-Grid Fusion with Change-of-Support and Misaligned Covariates
by: Zheng, Weiyue, et al.
Published: (2025)

The Ancestor Hawkes Process with an Application to Group Chat Data
by: Ross, Gordon J, et al.
Published: (2026)

Neural Networks for Parameter Estimation of the Discretely Observed Hawkes Process
by: Lambe, Jason J., et al.
Published: (2025)

Flexible Bayesian Modeling for Longitudinal Binary and Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2023)

Non-stationary Spatio-Temporal Modeling Using the Stochastic Advection-Diffusion Equation
by: Berild, Martin Outzen, et al.
Published: (2024)

INLA-RF: A Hybrid Modeling Strategy for Spatio-Temporal Environmental Data
by: Figueira, Mario, et al.
Published: (2025)

Matrix Autoregressive Model with Vector Time Series Covariates for Spatio-Temporal Data
by: Sun, Hu, et al.
Published: (2023)

The Flexible Accumulation Model for High Density Temporal Exposures
by: Zhou, Xinkai, et al.
Published: (2025)

Score-Based Change-Point Detection and Region Localization for Spatio-Temporal Point Processes
by: Zhou, Wenbin, et al.
Published: (2026)

Modeling Spatio-Temporal Transport: From Rigid Advection to Realistic Dynamics
by: Battagliola, Maria Laura, et al.
Published: (2023)

Hawkes Models And Their Applications
by: Laub, Patrick J., et al.
Published: (2024)

Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
by: Zhou, Lingxiao, et al.
Published: (2024)

A Flexible Partially Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data
by: Lei, Na, et al.
Published: (2025)

Hawkes Processes with Variable Length Memory: Existence, Inference and Application to Neuronal Activity
by: Quayle, Sacha, et al.
Published: (2025)

Flexibly Modeling Shocks to Demographic and Health Indicators with Bayesian Shrinkage Priors
by: Susmann, Herbert, et al.
Published: (2024)