Cover Image

A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5 in an Urban Setting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Riley, Abi I., Blangiardo, Marta, Piel, Frédéric B., Beddows, Andrew, Beevers, Sean, Fuller, Gary W., Agnew, Paul, Pirani, Monica
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the PM2.5 -- Mortality Association: A Bayesian Model for Spatio-Temporal Confounding
by: Zaccardi, Carlo, et al.
Published: (2024)

Assessing the Accuracy of Multisource Register-based Official Statistics for Multinomial Outcomes
by: Deliu, Nina, et al.
Published: (2025)

Stability of clinical prediction models developed using statistical or machine learning methods
by: Riley, Richard D, et al.
Published: (2022)

Bayesian Hierarchical Modeling for Predicting Spatially Correlated Curves in Irregular Domains: A Case Study on PM10 Pollution
by: Moreno, Alvaro Alexander Burbano, et al.
Published: (2024)

Bayesian Power and Sample Size Calculations for Bayes Factors in the Binomial Setting
by: Kelter, Riko, et al.
Published: (2025)

Effective Bayesian Modeling of Large Spatiotemporal Count Data Using Autoregressive Gamma Processes
by: Cheng, Yifan, et al.
Published: (2025)

A nonstationary spatial model of PM2.5 with localized transfer learning from numerical model output
by: Gong, Wenlong, et al.
Published: (2025)

Bayesian sample size calculations for external validation studies of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2025)

Combining chains of Bayesian models with Markov melding
by: Manderson, Andrew A., et al.
Published: (2021)

Prediction of air pollutants PM10 by ARBX(1) processes
by: Álvarez-Liébana, Javier, et al.
Published: (2024)

Three Distributional Approaches for PM10 Assessment in Northern Italy
by: De Sanctis, Marco F., et al.
Published: (2025)

Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
by: Gelman, Andrew, et al.
Published: (2019)

Hierarchical Bayesian Models to Mitigate Systematic Disparities in Prediction with Proxy Outcomes
by: Mikhaeil, Jonas, et al.
Published: (2024)

A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
by: Sisti, Anthony, et al.
Published: (2024)

Scalable Spatiotemporal Prediction with Bayesian Neural Fields
by: Saad, Feras, et al.
Published: (2024)

Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
by: Pherwani, Pranay, et al.
Published: (2024)

Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes
by: Sharma, Bharat, et al.
Published: (2025)

Spatiotemporal factor models for functional data with application to population map forecast
by: Wakayama, Tomoya, et al.
Published: (2023)

Spatiotemporal clustering of GHGs emissions in Europe: exploring the role of spatial component
by: Morelli, Caterina, et al.
Published: (2025)

A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)

E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
by: Panja, Madhurima, et al.
Published: (2024)

A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
by: Alvares, Danilo, et al.
Published: (2024)

A Fully Bayesian Approach for Comprehensive Mapping of Magnitude and Phase Brain Activation in Complex-Valued fMRI Data
by: Wang, Zhengxin, et al.
Published: (2024)

Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures
by: Ouyang, Yongdong, et al.
Published: (2023)

Multiview Graph Fusion with Covariates
by: Guha, Sharmistha, et al.
Published: (2026)

Social Media Data for Population Mapping: A Bayesian Approach to Address Representativeness and Privacy Challenges
by: Andrich, Paolo, et al.
Published: (2026)

Spatiotemporal causal inference with arbitrary spillover and carryover effects: Airstrikes and insurgent violence in the Iraq War
by: Mukaigawara, Mitsuru, et al.
Published: (2025)

Bayesian Rank-Clustering
by: Pearce, Michael, et al.
Published: (2024)

Macroscopic Activity-Based Modeling of Urban Active Mobility
by: Azaïs, Romain, et al.
Published: (2026)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)

Bayesian Mapping of Mortality Clusters
by: Sottosanti, Andrea, et al.
Published: (2024)

Elastic Bayesian Model Calibration
by: Francom, Devin, et al.
Published: (2023)

Efficient scenario analysis in real-time Bayesian election forecasting via sequential meta-posterior sampling
by: Han, Geonhee, et al.
Published: (2025)

A Bayesian theory for estimation of biodiversity
by: Rigon, Tommaso, et al.
Published: (2025)

Bayesian Cointegrated Panels in Digital Marketing
by: Carranza-Sánchez, Juan David, et al.
Published: (2024)

Bayesian inference of Latent Spectral Shapes
by: Yip, Hiu Ching, et al.
Published: (2024)

Influence Networks: Bayesian Modeling and Diffusion
by: Sánchez-Gutiérrez, Samuel, et al.
Published: (2024)

Is Repeated Bayesian Interim Analysis Consequence-Free?
by: Liu, Suyu, et al.
Published: (2025)

Bayesian Evidence Synthesis for the common effect model
by: Nikolakopoulos, Stavros, et al.
Published: (2021)

Bayesian Record Linkage with Variables in One File
by: Kamat, Gauri, et al.
Published: (2023)