Imagen de Portada

Modelling superspreading dynamics and circadian rhythms in online discussion boards using Hawkes processes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Meagher, Joe, Friel, Nial
Formato:	Preprint
Publicado:	2025
Materias:	Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Zero-Inflated Poisson Latent Position Cluster Model
por: Lu, Chaoyi, et al.
Publicado: (2025)

Zero-inflated stochastic block modeling of efficiency-security tradeoffs in weighted criminal networks
por: Lu, Chaoyi, et al.
Publicado: (2024)

Analyzing whale calling through Hawkes process modeling
por: Kang, Bokgyeong, et al.
Publicado: (2024)

Bayesian spatiotemporal modelling of political violence and conflict events using discrete-time Hawkes processes
por: Browning, Raiha, et al.
Publicado: (2024)

Scaling Hawkes processes to one million COVID-19 cases
por: Ko, Seyoon, et al.
Publicado: (2024)

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

A Markov switching discrete-time Hawkes process: application to the monitoring of bats behavior
por: Bonnet, Anna, et al.
Publicado: (2025)

The Bradley-Terry Stochastic Block Model
por: Santi, Lapo, et al.
Publicado: (2025)

A mixed effects cosinor modelling framework for circadian gene expression
por: Gorczyca, Michael T.
Publicado: (2024)

A sequential ensemble approach to epidemic modeling: Combining Hawkes and SEIR models using SMC$^2$
por: Temfack, Dhorasso, et al.
Publicado: (2025)

Modeling Animal Communication Using Multivariate Hawkes Processes with Additive Excitation and Multiplicative Inhibition
por: Kang, Bokgyeong, et al.
Publicado: (2026)

Testing the evolutionary drivers of malaria parasite rhythms and their consequences for host–parasite interactions
por: Jacob G. Holland, et al.
Publicado: (2024)

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing
por: Das, Pramit, et al.
Publicado: (2025)

Modeling Discrete Coating Degradation Events via Hawkes Processes
por: Repasky, Matthew, et al.
Publicado: (2025)

Clustered Mallows Model
por: Piancastelli, Luiza S. C., et al.
Publicado: (2024)

Bayesian Strategies for Repulsive Spatial Point Processes
por: Lu, Chaoyi, et al.
Publicado: (2024)

Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields
por: Stoehr, Julien, et al.
Publicado: (2015)

Unraveling stochastic fundamental diagrams considering empirical knowledge: modeling, limitation and further discussion
por: Lei, Yuan-Zheng, et al.
Publicado: (2024)

Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model
por: Zhao, Yuankang, et al.
Publicado: (2025)

A Multidimensional Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences
por: Davis, Louis, et al.
Publicado: (2024)

"6 choose 4": A framework to understand and facilitate discussion of strategies for overall survival safety monitoring
por: Yung, Godwin, et al.
Publicado: (2024)

Automobile demand forecasting: Spatiotemporal and hierarchical modeling, life cycle dynamics, and user-generated online information
por: Nahrendorf, Tom, et al.
Publicado: (2025)

Research on dynamic analysis and prediction model of tennis match based on Bayesian probability and analytic Hierarchy process
por: Li, Chuangqi
Publicado: (2024)

Learning and forecasting of age-specific period mortality via B-spline processes with locally-adaptive dynamic coefficients
por: Pavone, Federico, et al.
Publicado: (2022)

Hierarchical Bayesian model updating using Dirichlet process mixtures for structural damage localization
por: Yaoyama, Taro, et al.
Publicado: (2025)

Modeling diesel output particulate matter as the Ornstein-Uhlenbeck process
por: Bolt, Maxwell, et al.
Publicado: (2026)

Estimating dynamic transmission rates with a Black-Karasinski process in stochastic SIHR models using particle MCMC
por: Drennan, Avery, et al.
Publicado: (2025)

Chilean Avian flu and its marine impacts: an online Statistical Process Control task
por: Nascimento, Diego Carvalho do, et al.
Publicado: (2025)

Predicting passenger injury distributions under uncertainty variables using Gaussian process modeling with GHBMC
por: Baek, Changmin, et al.
Publicado: (2025)

Rapid calibration of atrial electrophysiology models using Gaussian process emulators in the ensemble Kalman filter
por: Mamajiwala, Mariya, et al.
Publicado: (2025)

Bayesian nonparametric modeling of dynamic pollution clusters through an autoregressive logistic-beta Stirling-gamma process
por: Marin, Santiago, et al.
Publicado: (2026)

Uncertainty quantification and parameter optimization of plasma etching process using heteroscedastic Gaussian process
por: Jung, Yongsu, et al.
Publicado: (2025)

A computational framework for integrating Predictive processes with evidence Accumulation Models (PAM)
por: Visalli, Antonino, et al.
Publicado: (2024)

From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences
por: Tan, Xinzi, et al.
Publicado: (2026)

Estimating relapse time distribution from longitudinal biomarker trajectories using iterative regression and continuous time Markov processes
por: Cleynen, Alice, et al.
Publicado: (2025)

Sequential Kalman filter for fast online changepoint detection in longitudinal health records
por: Li, Hanmo, et al.
Publicado: (2023)

Bayesian Inference for Epidemic Final Size Datasets with Hidden Underlying Household Structure
por: Brooks, Joseph, et al.
Publicado: (2026)

Importance sampling for online variational learning
por: Chagneux, Mathis, et al.
Publicado: (2024)

Noisy Hamiltonian Monte Carlo for doubly-intractable distributions
por: Stoehr, Julien, et al.
Publicado: (2017)

Mortality Modelling using Generalized Estimating Equations
por: Dastranj, Reza, et al.
Publicado: (2024)