Cover Image

Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Junglee, Yovna, Barajas, Vianey Leos, Franklin, Meredith
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

Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
by: Aiello, Luca, et al.
Published: (2025)

Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric regression
by: De Sanctis, Marco F., 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)

RESAPLE: An Approximate One-Step Restricted Likelihood Estimator of Spatial Dependence for Exploratory Spatial Analysis
by: Khan, Aditya, et al.
Published: (2026)

Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)

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)

Robust reduced rank regression under heavy-tailed noise and missing data via non-convex penalization
by: Mai, The Tien
Published: (2025)

A spatio-temporal statistical framework for heatwave attribution under climate change
by: Gasser, Kamal, et al.
Published: (2026)

Bayesian inference for hidden Markov models under genuine multimodality with application to ecological time series
by: Gallegos-Herrada, Marco A., et al.
Published: (2026)

Bayesian kernel machine regression for heteroscedastic health outcome data
by: Smith, Melissa J., et al.
Published: (2025)

Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)

Logistic regression with missing responses and predictors: a review of existing approaches and a case study
by: Martins, Susana Rafaela, et al.
Published: (2023)

The SPDE approach for spatio-temporal datasets with advection and diffusion
by: Clarotto, Lucia, et al.
Published: (2022)

Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
by: Xu, Zichun, 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)

Bayesian Source Apportionment of Spatio-temporal air pollution data
by: Frigeri, Michela, et al.
Published: (2025)

Bayesian nonparametric mean residual life regression
by: Poynor, Valerie, et al.
Published: (2014)

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)

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)

Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
by: Urbas, Szymon, et al.
Published: (2023)

A Bayesian multivariate model with temporal dependence on random partition of areal data
by: Pavani, Jessica, et al.
Published: (2024)

Dynamic Bayesian regression quantile synthesis for forecasting outlook-at-risk
by: Kobayashi, Genya, et al.
Published: (2026)

Bayesian compositional regression with flexible microbiome feature aggregation and selection
by: Saha, Satabdi, et al.
Published: (2024)

Bayesian network-guided sparse regression with flexible varying effects
by: Ren, Yangfan, et al.
Published: (2024)

Insights into regression-based cross-temporal forecast reconciliation
by: Girolimetto, Daniele, et al.
Published: (2024)

Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression
by: Li, Mingyuan, et al.
Published: (2025)

Heterogeneity-aware integrative regression for ancestry-specific association studies
by: Molstad, Aaron J., et al.
Published: (2023)

Data Integration and spatio temporal statistics can quantify relative risk of medico-legal reforms: the example of police emergency mental health responses in Queensland (Australia)
by: Dorji, Nidup, et al.
Published: (2025)

Combining missing data imputation and internal validation in clinical risk prediction models
by: Mi, Junhui, et al.
Published: (2024)

Quantifying uncertainty of individualized treatment effects in right-censored survival data: A comparison of Bayesian additive regression trees and causal survival forest
by: Kabata, Daijiro, et al.
Published: (2025)

Prenatal phthalate exposures and adiposity outcomes trajectories: a multivariate Bayesian factor regression approach
by: Nguyen, Phuc H., et al.
Published: (2025)

Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
by: Dashti, S. Ghazaleh, et al.
Published: (2021)

Subdata selection for big data regression: an improved approach
by: Chasiotis, Vasilis, et al.
Published: (2023)

Spatio-temporal point process modelling of fires in Sicily exploring human and environmental factors
by: D'Angelo, Nicoletta, et al.
Published: (2024)

Bayesian weighted discrete-time dynamic models for association football prediction
by: Macrì-Demartino, Roberto, et al.
Published: (2025)

Rank-based methods for estimating landmark win probability in longitudinal randomized controlled trials with missing data
by: Zou, Guangyong, et al.
Published: (2026)

Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare
by: Esser, Jonas, et al.
Published: (2024)

Bayesian sample size determination using robust commensurate priors with interpretable discrepancy weights
by: Whitehead, Lou E., et al.
Published: (2024)

Hybrid methods for missing categorical covariates in Cox model
by: Dioni, Abdoulaye, et al.
Published: (2025)

A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology
by: Lee, Changwoo J., et al.
Published: (2024)