:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Meagher, Joe, Friel, Nial
Format:	Preprint
Published:	2025
Subjects:	Applications
Online Access:	https://arxiv.org/abs/2501.13823
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

Clustered Mallows Model
by: Piancastelli, Luiza S. C., et al.
Published: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

On‐board charger applications: A new hybrid control strategy for bidirectional CLLC resonant converter
by: Zhe Shi, et al.
Published: (2024)