Cover Image

A nonstationary spatial model of PM2.5 with localized transfer learning from numerical model output

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gong, Wenlong, Reich, Brian J., Guinness, Joseph
Format:	Preprint
Published:	2025
Subjects:	Applications Computation Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalized method of L-moment estimation for stationary and nonstationary extreme value models
by: Shin, Yonggwan, et al.
Published: (2025)

A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
by: Blasi, Federico, et al.
Published: (2024)

A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5 in an Urban Setting
by: Riley, Abi I., et al.
Published: (2025)

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

A comparison between geostatistical and machine learning models for spatio-temporal prediction of PM2.5 data
by: Mohamed, Zeinab, et al.
Published: (2025)

A Deep Learning Synthetic Likelihood Approximation of a Non-stationary Spatial Model for Extreme Streamflow Forecasting
by: Majumder, Reetam, et al.
Published: (2022)

Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)

Accounting for variable detection functions in temporal abundance modeling via transfer learning
by: Collins, Kevin M., et al.
Published: (2026)

Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data
by: Risser, Mark D., et al.
Published: (2024)

Reliability analysis for data-driven noisy models using active learning
by: Pires, Anderson V., et al.
Published: (2024)

Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe
by: Cerqueti, Roy, et al.
Published: (2024)

Asymptotics of numerical integration for two-level mixed models
by: Stringer, Alex, et al.
Published: (2022)

Estimating Covariate Effects on Functional Connectivity using Voxel-Level fMRI Data
by: Zhao, Wei, et al.
Published: (2025)

Modeling Extremal Streamflow using Deep Learning Approximations and a Flexible Spatial Process
by: Majumder, Reetam, et al.
Published: (2022)

A flexible and interpretable spatial covariance model for data on graphs
by: Christensen, Michael F., et al.
Published: (2022)

Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
by: Wang, Xinming, et al.
Published: (2024)

Clustering-based spatial interpolation of parametric post-processing models
by: Baran, Sándor, et al.
Published: (2024)

A dimension reduction approach to edge weight estimation for use in spatial models
by: Christensen, Michael F., et al.
Published: (2024)

Joining and splitting models with Markov melding
by: Goudie, Robert J. B., et al.
Published: (2016)

A monotone single index model for spatially referenced multistate current status data
by: Das, Snigdha, et al.
Published: (2025)

Tests for partial correlation between repeatedly observed nonstationary nonlinear timeseries
by: Harris, Kenneth D., et al.
Published: (2021)

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
by: Sondhi, Arjun, et al.
Published: (2024)

Towards more realistic climate model outputs: A multivariate bias correction based on zero-inflated vine copulas
by: Funk, Henri, et al.
Published: (2024)

Ecient spatial designs for targeted regions or level set detection
by: Coly, Sylvain, et al.
Published: (2024)

Bayesian semiparametric modelling of biomarker variability in joint models
by: Chen, Sida, et al.
Published: (2025)

Fast and robust invariant generalized linear models
by: Knight, Parker, et al.
Published: (2025)

Smooth and shape-constrained quantile distributed lag models
by: Jin, Yisen, et al.
Published: (2024)

Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
by: Adin, A., et al.
Published: (2023)

A mixture of distributed lag non-linear models to account for spatially heterogeneous exposure-lag-response associations
by: Briz-Redón, Álvaro, et al.
Published: (2025)

Uncovering latent territorial structure in ICFES Saber 11 performance with Bayesian multilevel spatial models
by: Pardo, Laura, et al.
Published: (2025)

Quantifying patient and neighborhood risks for stillbirth and preterm birth in Philadelphia with a Bayesian spatial model
by: Balocchi, Cecilia, et al.
Published: (2021)

pintervals: an R package for model-agnostic prediction intervals
by: Randahl, David, et al.
Published: (2026)

On the application of Gaussian graphical models to paired data problems
by: Ranciati, Saverio, et al.
Published: (2023)

Robust local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)

Strategic analysis of hydrogen market dynamics across collaboration models
by: Asghari, Mohammad, et al.
Published: (2025)

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

Time-variant reliability using time-dependent surrogate models
by: Marelli, Stefano, et al.
Published: (2026)

A functional regression model for heterogeneous BioGeoChemical Argo data in the Southern Ocean
by: Korte-Stapff, Moritz, et al.
Published: (2022)

Tutorial for Surrogate Endpoint Validation Using Joint modeling and Mediation Analysis
by: Coent, Quentin Le, et al.
Published: (2025)

A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
by: Morsomme, Raphael, et al.
Published: (2024)