A Bayesian time-varying random partition model for large spatio-temporal datasets
Fuente:
arXiv
Saved in:
| Main Authors: | Beltramin, Giulio, Cremaschi, Andrea, Cadonna, Annalisa, Guglielmi, Alessandra, Quintana, Fernando Andrés |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Bayesian multivariate model with temporal dependence on random partition of areal data
by: Pavani, Jessica, et al.
Published: (2024)
by: Pavani, Jessica, et al.
Published: (2024)
Bayesian Source Apportionment of Spatio-temporal air pollution data
by: Frigeri, Michela, et al.
Published: (2025)
by: Frigeri, Michela, et al.
Published: (2025)
Modeling temporal dependence in a sequence of spatial random partitions driven by spanning tree: an application to mosquito-borne diseases
by: Pavani, Jessica, et al.
Published: (2025)
by: Pavani, Jessica, et al.
Published: (2025)
Fast spatio-temporally varying coefficient modeling with reluctant interaction selection
by: Murakami, Daisuke, et al.
Published: (2024)
by: Murakami, Daisuke, et al.
Published: (2024)
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 modelling for infectious disease outbreak detection
by: Adeoye, Matthew, et al.
Published: (2025)
by: Adeoye, Matthew, et al.
Published: (2025)
Bayesian nonparametric boundary detection for multiple areal data
by: Gianella, Matteo, et al.
Published: (2023)
by: Gianella, Matteo, et al.
Published: (2023)
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)
Bayesian clustering of high-dimensional data via latent repulsive mixtures
by: Ghilotti, Lorenzo, et al.
Published: (2023)
by: Ghilotti, Lorenzo, et al.
Published: (2023)
Bayesian Causal Effect Estimation for Categorical Data using Staged Tree Models
by: Cremaschi, Andrea, et al.
Published: (2025)
by: Cremaschi, Andrea, et al.
Published: (2025)
Bayesian Machine Learning meets Formal Methods: An application to spatio-temporal data
by: Vana, Laura, et al.
Published: (2021)
by: Vana, Laura, et al.
Published: (2021)
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)
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)
Advances in Bayesian random partition models: A comprehensive review
by: Grazian, Clara
Published: (2023)
by: Grazian, Clara
Published: (2023)
Repulsive mixtures via the sparsity-inducing partition prior
by: Mozdzen, Alexander, et al.
Published: (2025)
by: Mozdzen, Alexander, et al.
Published: (2025)
Bayesian spatio-temporal disaggregation modeling using a diffusion-SPDE approach: a case study of Aerosol Optical Depth in India
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2025)
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2025)
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)
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)
Bayesian repulsive mixture model for multivariate functional data
by: Pedroso, Ricardo Cunha, et al.
Published: (2026)
by: Pedroso, Ricardo Cunha, et al.
Published: (2026)
A spatio-temporal model to detect potential outliers in disease mapping
by: Michal, Victoire, et al.
Published: (2024)
by: Michal, Victoire, 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)
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)
Bayesian clustering of multiple zero-inflated outcomes
by: Franzolini, Beatrice, et al.
Published: (2022)
by: Franzolini, Beatrice, et al.
Published: (2022)
Spectral domain likelihoods for Bayesian inference in time-varying parameter models
by: Gustafsson, Oskar, et al.
Published: (2024)
by: Gustafsson, Oskar, et al.
Published: (2024)
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)
Estimating time-varying exposure effects through continuous-time modelling in Mendelian randomization
by: Tian, Haodong, et al.
Published: (2024)
by: Tian, Haodong, 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)
Modelling multivariate spatio-temporal data with identifiable variational autoencoders
by: Sipilä, Mika, et al.
Published: (2024)
by: Sipilä, Mika, et al.
Published: (2024)
Connecting reflective asymmetries in multivariate spatial and spatio-temporal covariances
by: Yarger, Drew
Published: (2026)
by: Yarger, Drew
Published: (2026)
Bayesian local clustering of functional data via semi-Markovian random partitions
by: Toto, Giovanni, et al.
Published: (2025)
by: Toto, Giovanni, et al.
Published: (2025)
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)
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)
A Bayesian semi-parametric model for longitudinal growth and appetite phenotypes in children
by: Cremaschi, Andrea, et al.
Published: (2025)
by: Cremaschi, Andrea, et al.
Published: (2025)
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)
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)
Bayesian principal stratification with longitudinal data and truncation by death
by: Grossi, Giulio, et al.
Published: (2023)
by: Grossi, Giulio, et al.
Published: (2023)
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)
Similar Items
-
A Bayesian multivariate model with temporal dependence on random partition of areal data
by: Pavani, Jessica, et al.
Published: (2024) -
Bayesian Source Apportionment of Spatio-temporal air pollution data
by: Frigeri, Michela, et al.
Published: (2025) -
Modeling temporal dependence in a sequence of spatial random partitions driven by spanning tree: an application to mosquito-borne diseases
by: Pavani, Jessica, et al.
Published: (2025) -
Fast spatio-temporally varying coefficient modeling with reluctant interaction selection
by: Murakami, Daisuke, et al.
Published: (2024) -
Multi-resolution filters via linear projection for large spatio-temporal datasets
by: Hirano, Toshihiro, et al.
Published: (2024)