A spatio-temporal model to detect potential outliers in disease mapping
Fuente:
arXiv
Saved in:
| Main Authors: | Michal, Victoire, Schmidt, Alexandra M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects
by: Michal, Victoire, et al.
Published: (2021)
by: Michal, Victoire, et al.
Published: (2021)
Bayesian spatio-temporal modelling for infectious disease outbreak detection
by: Adeoye, Matthew, et al.
Published: (2025)
by: Adeoye, Matthew, et al.
Published: (2025)
Cellwise outlier detection in heterogeneous populations
by: Zaccaria, Giorgia, et al.
Published: (2024)
by: Zaccaria, Giorgia, et al.
Published: (2024)
Fast spatio-temporally varying coefficient modeling with reluctant interaction selection
by: Murakami, Daisuke, et al.
Published: (2024)
by: Murakami, Daisuke, et al.
Published: (2024)
A decay-adjusted spatio-temporal model to account for the impact of mass drug administration on neglected tropical disease prevalence
by: Giorgi, Emanuele, et al.
Published: (2025)
by: Giorgi, Emanuele, et al.
Published: (2025)
Area-based epigraph and hypograph indices for functional outlier detection
by: Pulido, Belen, et al.
Published: (2025)
by: Pulido, Belen, et al.
Published: (2025)
A Bayesian time-varying random partition model for large spatio-temporal datasets
by: Beltramin, Giulio, et al.
Published: (2023)
by: Beltramin, Giulio, et al.
Published: (2023)
Online robust covariance matrix estimation and outlier detection
by: Guillot, Paul, et al.
Published: (2026)
by: Guillot, Paul, et al.
Published: (2026)
Modeling high and low extremes with a novel dynamic spatio-temporal model
by: Yoo, Myungsoo, et al.
Published: (2025)
by: Yoo, Myungsoo, et al.
Published: (2025)
Bayesian copula-based modelling for multi-type spatio-temporal epidemic data
by: Adeoye, Matthew, et al.
Published: (2026)
by: Adeoye, Matthew, et al.
Published: (2026)
Spatially smoothed robust covariance estimation for local outlier detection
by: Puchhammer, Patricia, et al.
Published: (2023)
by: Puchhammer, Patricia, et al.
Published: (2023)
Bayesian inference for spatio-temporal hidden Markov models using the exchange algorithm
by: Tancini, Daniele, et al.
Published: (2025)
by: Tancini, Daniele, et al.
Published: (2025)
Estimating velocities of infectious disease spread through spatio-temporal log-Gaussian Cox point processes
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2024)
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2024)
Modelling multivariate spatio-temporal data with identifiable variational autoencoders
by: Sipilä, Mika, et al.
Published: (2024)
by: Sipilä, Mika, et al.
Published: (2024)
Scalable generative modeling of non-Gaussian spatio-temporal fields via autoregressive Gaussian processes
by: Lei-Cramer, Carrie J., et al.
Published: (2026)
by: Lei-Cramer, Carrie J., et al.
Published: (2026)
Connecting reflective asymmetries in multivariate spatial and spatio-temporal covariances
by: Yarger, Drew
Published: (2026)
by: Yarger, Drew
Published: (2026)
A new framework for non-stationary spatio-temporal data fusion of multi-fidelity models
by: Colombo, Pietro, et al.
Published: (2026)
by: Colombo, Pietro, et al.
Published: (2026)
Minimum regularized covariance trace estimator and outlier detection for functional data
by: Oguamalam, Jeremy, et al.
Published: (2023)
by: Oguamalam, Jeremy, et al.
Published: (2023)
Nonparametric quantile regression for spatio-temporal processes
by: Deb, Soudeep, et al.
Published: (2024)
by: Deb, Soudeep, et al.
Published: (2024)
Hidden Markov modelling of spatio-temporal dynamics of measles in 1750-1850 Finland
by: Pasanen, Tiia-Maria, et al.
Published: (2024)
by: Pasanen, Tiia-Maria, et al.
Published: (2024)
Modeling heterogeneity in higher-order moments while preserving mean and variance: application to spatio-temporal modeling
by: Kuno, Hajime, et al.
Published: (2024)
by: Kuno, Hajime, et al.
Published: (2024)
Nonparametric regression of spatio-temporal data using infinite-dimensional covariates
by: Roy, Subhrajyoty, et al.
Published: (2026)
by: Roy, Subhrajyoty, et al.
Published: (2026)
Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
by: Retegui, Garazi, et al.
Published: (2024)
by: Retegui, Garazi, et al.
Published: (2024)
Cubature scheme for spatio-temporal Poisson point processes estimation
by: D'Angelo, Nicoletta, et al.
Published: (2024)
by: D'Angelo, Nicoletta, et al.
Published: (2024)
Robust covariance estimation and explainable outlier detection for matrix-valued data
by: Mayrhofer, Marcus, et al.
Published: (2024)
by: Mayrhofer, Marcus, et al.
Published: (2024)
A spatio-temporal statistical framework for heatwave attribution under climate change
by: Gasser, Kamal, et al.
Published: (2026)
by: Gasser, Kamal, et al.
Published: (2026)
ChauBoxplot and AdaptiveBoxplot: Two R packages for boxplot-based outlier detection
by: Tong, Tiejun, et al.
Published: (2026)
by: Tong, Tiejun, et al.
Published: (2026)
Robust normality transformation for outlier detection in diverse distributions, with application to functional neuroimaging data
by: Saluja, Saranjeet Singh, et al.
Published: (2025)
by: Saluja, Saranjeet Singh, et al.
Published: (2025)
Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
by: Aiello, Luca, et al.
Published: (2025)
by: Aiello, Luca, et al.
Published: (2025)
When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
by: Lin, Hongmei, et al.
Published: (2025)
by: Lin, Hongmei, et al.
Published: (2025)
The SPDE approach for spatio-temporal datasets with advection and diffusion
by: Clarotto, Lucia, et al.
Published: (2022)
by: Clarotto, Lucia, et al.
Published: (2022)
An empirical comparison of some outlier detection methods with longitudinal data
by: D'Orazio, Marcello
Published: (2025)
by: D'Orazio, Marcello
Published: (2025)
Minimum contrast for the first-order intensity estimation of spatial and spatio-temporal point processes
by: D'Angelo, Nicoletta, et al.
Published: (2023)
by: D'Angelo, Nicoletta, et al.
Published: (2023)
tinyVAST: R package with an expressive interface to specify lagged and simultaneous effects in multivariate spatio-temporal models
by: Thorson, James T., et al.
Published: (2024)
by: Thorson, James T., et al.
Published: (2024)
Unveiling land use dynamics: Insights from a hierarchical Bayesian spatio-temporal modelling of Compositional Data
by: Figueira, Mario, et al.
Published: (2024)
by: Figueira, Mario, et al.
Published: (2024)
High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields
by: Simpson, Emma S., et al.
Published: (2020)
by: Simpson, Emma S., et al.
Published: (2020)
deepspat: An R package for modeling nonstationary spatial and spatio-temporal Gaussian and extremes data through deep deformations
by: Vu, Quan, et al.
Published: (2025)
by: Vu, Quan, et al.
Published: (2025)
Multi-resolution filters via linear projection for large spatio-temporal datasets
by: Hirano, Toshihiro, et al.
Published: (2024)
by: Hirano, Toshihiro, et al.
Published: (2024)
Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025)
by: Junglee, Yovna, et al.
Published: (2025)
Challenges of cellwise outliers
by: Raymaekers, Jakob, et al.
Published: (2023)
by: Raymaekers, Jakob, et al.
Published: (2023)
Similar Items
-
A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects
by: Michal, Victoire, et al.
Published: (2021) -
Bayesian spatio-temporal modelling for infectious disease outbreak detection
by: Adeoye, Matthew, et al.
Published: (2025) -
Cellwise outlier detection in heterogeneous populations
by: Zaccaria, Giorgia, et al.
Published: (2024) -
Fast spatio-temporally varying coefficient modeling with reluctant interaction selection
by: Murakami, Daisuke, et al.
Published: (2024) -
A decay-adjusted spatio-temporal model to account for the impact of mass drug administration on neglected tropical disease prevalence
by: Giorgi, Emanuele, et al.
Published: (2025)