Image de couverture de livre

Composite method for fast computation of individual level spatial epidemic models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Yirao, Deardon, Rob, Deeth, Lorna
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A framework for incorporating behavioural change into individual‐level spatial epidemic models
par: Madeline A. Ward, et autres
Publié: (2024)

Hidden Markov Individual-level Models of Infectious Disease Transmission
par: Douwes-Schultz, Dirk, et autres
Publié: (2026)

Conditional logistic individual-level models of spatial infectious disease dynamics
par: Akter, Tahmina, et autres
Publié: (2024)

Dominating Hyperplane Regularization for Variable Selection in Multivariate Count Regression
par: Cooper, Alysha, et autres
Publié: (2025)

Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections
par: Ward, Caitlin, et autres
Publié: (2025)

Scalable calibration of individual-based epidemic models through categorical approximations
par: Rimella, Lorenzo, et autres
Publié: (2025)

Approximating optimal SMC proposal distributions in individual-based epidemic models
par: Rimella, Lorenzo, et autres
Publié: (2022)

Individual-level models of disease transmission incorporating piecewise spatial risk functions
par: Rahul, Chinmoy Roy, et autres
Publié: (2024)

Multivariate Gaussian process emulation for multifidelity computer models with high-dimensional spatial outputs
par: McCrimmon, Cyrus S., et autres
Publié: (2026)

Network method for voxel-pair-level brain connectivity analysis under spatial-contiguity constraints
par: Lu, Tong, et autres
Publié: (2023)

WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology
par: Sharma, Abhinav, et autres
Publié: (2024)

Bayesian copula-based modelling for multi-type spatio-temporal epidemic data
par: Adeoye, Matthew, et autres
Publié: (2026)

A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
par: Urdangarin, A., et autres
Publié: (2023)

Coarse-to-fine spatial modeling: A scalable, machine-learning-compatible spatial model
par: Murakami, Daisuke, et autres
Publié: (2025)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
par: Whitaker, Sam A., et autres
Publié: (2024)

Generalized spatial autoregressive model
par: Cruz, N. A., et autres
Publié: (2024)

Sub-model aggregation for scalable eigenvector spatial filtering: Application to spatially varying coefficient modeling
par: Murakami, Daisuke, et autres
Publié: (2024)

Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
par: Wang, Ziyou, et autres
Publié: (2026)

Computational methods for fast Bayesian model assessment via calibrated posterior p-values
par: Paganin, Sally, et autres
Publié: (2023)

Improving the use of social contact studies in epidemic modelling
par: Britton, Tom, et autres
Publié: (2024)

Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation
par: Temfack, Dhorasso, et autres
Publié: (2025)

Weighted model calibration with spatial conditional information
par: Nguyen, Michele, et autres
Publié: (2025)

Bayesian spatial+: A joint model perspective
par: Marques, Isa, et autres
Publié: (2023)

Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes
par: Shi, Muyang, et autres
Publié: (2024)

Exchangeable Gaussian Processes with application to epidemics
par: Bouranis, Lampros, et autres
Publié: (2025)

SAR models with specific spatial coefficients and heteroskedastic innovations
par: Cruz, N. A., et autres
Publié: (2025)

A functional spatial autoregressive model using signatures
par: Frévent, Camille
Publié: (2023)

Copula-based models for spatially dependent cylindrical data
par: Labanca, Francesca, et autres
Publié: (2026)

Spatial weights matrix selection and model averaging for multivariate spatial autoregressive models
par: Miao, Xin, et autres
Publié: (2025)

On minimum contrast method for multivariate spatial point processes
par: Zhu, Lin, et autres
Publié: (2022)

G-computation for increasing performances of clinical trials with individual randomization and binary response
par: de Keizer, Joe, et autres
Publié: (2024)

A primer on inference and prediction with epidemic renewal models and sequential Monte Carlo
par: Steyn, Nicholas, et autres
Publié: (2025)

A switching state-space transmission model for tracking epidemics and assessing interventions
par: Feng, Jingxue, et autres
Publié: (2023)

A multivariate spatial model for ordinal survey-based data
par: Beltrán-Sánchez, Miguel Ángel, et autres
Publié: (2025)

Bayesian modeling of spatial ordinal data from health surveys
par: Sánchez, Miguel Ángel Beltrán, et autres
Publié: (2024)

Generalized linear models with spatial dependence and a functional covariate
par: Kim, Sooran, et autres
Publié: (2024)

Tree-based methods for estimating heterogeneous model performance and model combining
par: Zhang, Ruotao, et autres
Publié: (2025)

Distributed model building and recursive integration for big spatial data modeling
par: Hector, Emily C., et autres
Publié: (2023)

Joint leave-group-out cross-validation in Bayesian spatial models
par: Cooper, Alex, et autres
Publié: (2025)

Investigating new, signature-based, spatial autoregressive models for functional covariates
par: Frévent, Camille
Publié: (2025)