Image de couverture de livre

Exact Bayesian Inference for Multivariate Spatial Data of Any Size with Application to Air Pollution Monitoring

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Clinch, Madelyn, Bradley, Jonathan R.
Format:	Preprint
Publié:	2024
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

An Efficient Class of Bayesian Generalized Quadratic Nonlinear Dynamic Models with Application to Birth Rate Monitoring
par: Clinch, Madelyn, et autres
Publié: (2025)

Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
par: Zhou, Shijie, et autres
Publié: (2023)

Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking
par: Pan, Soumyakanti, et autres
Publié: (2024)

Multiscale Multi-Type Spatial Bayesian Analysis for High-Dimensional Data with Application to Wildfires and Migration
par: Zhou, Shijie, et autres
Publié: (2024)

A Criterion for Aggregation Error for Multivariate Spatial Data
par: Daw, Ranadeep, et autres
Publié: (2023)

Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data
par: Saha, Sudipto, et autres
Publié: (2023)

A Bayesian Multivariate Spatial Point Pattern Model: Application to Oral Microbiome FISH Image Data
par: Lee, Kyu Ha, et autres
Publié: (2025)

Markov Random Fields with Proximity Constraints for Spatial Data
par: Saha, Sudipto, et autres
Publié: (2024)

Restricted Spatial Regression is Reasonable Statistical Practice: Clarifications, Interpretations, and New Developments
par: Bradley, Jonathan R.
Publié: (2024)

Bayesian Covariate-Varying Interaction Analysis for Multivariate Count Data: Application to Microbiome Studies
par: Zhang, Shuangjie, et autres
Publié: (2026)

A Bayesian Approach to Unit-level Dependent Multi-type Survey Data
par: Kong, Zewei, et autres
Publié: (2026)

Clustered Factor Analysis for Multivariate Spatial Data
par: Jin, Yanxiu, et autres
Publié: (2024)

Spatial Confounding in Multivariate Areal Data Analysis
par: Wu, Kyle Lin, et autres
Publié: (2025)

Calibrating Bayesian Inference
par: Liu, Yang, et autres
Publié: (2025)

Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
par: Pan, Soumyakanti, et autres
Publié: (2025)

Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data
par: Saduakhas, Damilya, et autres
Publié: (2025)

Improvements on Scalable Stochastic Bayesian Inference Methods for Multivariate Hawkes Process
par: Jiang, Alex Ziyu, et autres
Publié: (2023)

Exact Inference for Random Effects Meta-Analyses with Small, Sparse Data
par: Gronsbell, Jessica, et autres
Publié: (2023)

Improving Causal Inference with Measurement Errors in Exposures and Confounders: A New Method and Its Application to Air Pollution Exposure Assessment and Epidemiology
par: Kim, Honghyok
Publié: (2024)

Causal Inference for Unobservable Multivariate Outcomes, with Applications to Brain Effective Connectivity
par: Song, Haiyue, et autres
Publié: (2026)

Spatial Causal Tensor Completion for Multiple Exposures and Outcomes: An Application to the Health Effects of PFAS Pollution
par: Zhou, Xiaodan, et autres
Publié: (2026)

Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
par: He, Junhui, et autres
Publié: (2024)

A Novel Exact Inference Approach for Log-Logistic Reliability Functions with Applications to Time-to-Event Data
par: Liu, Bowen, et autres
Publié: (2026)

Conformalized Bayesian Inference, with Applications to Random Partition Models
par: Bariletto, Nicola, et autres
Publié: (2025)

Consistent Bayesian Local Spatial Feature Selection with Application to Spatial Multimodal Omics
par: Huang, Kun, et autres
Publié: (2026)

Spatial Principal Component Analysis and Moran Statistics for Multivariate Functional Areal Data
par: Pathmanathan, Dharini, et autres
Publié: (2024)

Modified Tests of Linear Hypotheses Under Heteroscedasticity for Multivariate Functional Data with Finite Sample Sizes
par: Zhu, Tianming
Publié: (2025)

Exact PPS Sampling with Bounded Sample Size
par: Hentschel, Brian, et autres
Publié: (2021)

Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
par: Antonelli, Joseph, et autres
Publié: (2024)

Bayesian Inference of Spatially Varying Correlations via the Thresholded Correlation Gaussian Process
par: Li, Moyan, et autres
Publié: (2024)

Sparse Multivariate Linear Regression with Strongly Associated Response Variables
par: Ham, Daeyoung, et autres
Publié: (2024)

Multivariate Bayesian dynamic modeling for causal prediction
par: Tierney, Graham, et autres
Publié: (2023)

Inference for Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
par: Wang, Shuwan, et autres
Publié: (2025)

Bayesian Variational Inference for Mixed Data Mixture Models
par: Wang, Junyang, et autres
Publié: (2025)

Bayesian Function-on-Function Regression for Spatial Functional Data
par: Lee, Heesang, et autres
Publié: (2024)

Bayesian Hierarchical Modeling for Predicting Spatially Correlated Curves in Irregular Domains: A Case Study on PM10 Pollution
par: Moreno, Alvaro Alexander Burbano, et autres
Publié: (2024)

Efficient Bayesian Inference for Spatial Point Patterns Using the Palm Likelihood
par: Collins, Kevin M., et autres
Publié: (2025)

Effective Sample Size for Functional Spatial Data
par: Alegría, Alfredo, et autres
Publié: (2026)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
par: Lin, Zhengzhi, et autres
Publié: (2025)

Nonparametric Statistical Inference for Multivariate Niche Overlap
par: Beck, Jonas, et autres
Publié: (2026)