Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
Fuente:
arXiv
Saved in:
| Main Authors: | Peruzzi, Michele, Banerjee, Sudipto, Dunson, David B., Finley, Andrew O. |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
by: Wakayama, Tomoya, et al.
Published: (2024)
by: Wakayama, Tomoya, et al.
Published: (2024)
Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2025)
by: Pan, Soumyakanti, et al.
Published: (2025)
Graph-constrained Analysis for Multivariate Functional Data
by: Dey, Debangan, et al.
Published: (2022)
by: Dey, Debangan, et al.
Published: (2022)
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025)
by: May, Paul B., et al.
Published: (2025)
Detecting Spatial Health Disparities Using Disease Maps
by: Aiello, Luca, et al.
Published: (2023)
by: Aiello, Luca, et al.
Published: (2023)
Spatial meshing for general Bayesian multivariate models
by: Peruzzi, Michele, et al.
Published: (2022)
by: Peruzzi, Michele, et al.
Published: (2022)
Nonparametric Bayes multiresolution testing for high-dimensional rare events
by: Datta, Jyotishka, et al.
Published: (2023)
by: Datta, Jyotishka, et al.
Published: (2023)
Scalable Fitting Methods for Multivariate Gaussian Additive Models with Covariate-dependent Covariance Matrices
by: Gioia, Vincenzo, et al.
Published: (2025)
by: Gioia, Vincenzo, et al.
Published: (2025)
Calibrating satellite maps with field data for improved predictions of forest biomass
by: May, Paul B., et al.
Published: (2024)
by: May, Paul B., et al.
Published: (2024)
Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
by: Pan, Soumyakanti, et al.
Published: (2023)
by: Pan, Soumyakanti, et al.
Published: (2023)
Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data
by: Saduakhas, Damilya, et al.
Published: (2025)
by: Saduakhas, Damilya, et al.
Published: (2025)
Marginally interpretable spatial logistic regression with bridge processes
by: Lee, Changwoo J., et al.
Published: (2024)
by: Lee, Changwoo J., et al.
Published: (2024)
Spatial Hyperspheric Models for Compositional Data
by: Schwob, Michael R., et al.
Published: (2024)
by: Schwob, Michael R., et al.
Published: (2024)
Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
by: Sahoo, Indranil, et al.
Published: (2024)
by: Sahoo, Indranil, et al.
Published: (2024)
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
by: Zhu, Yichen, et al.
Published: (2022)
by: Zhu, Yichen, et al.
Published: (2022)
A Bayesian theory for estimation of biodiversity
by: Rigon, Tommaso, et al.
Published: (2025)
by: Rigon, Tommaso, et al.
Published: (2025)
Bayesian Modeling of Incompatible Spatial Data: A Case Study Involving Post-Adrian Storm Forest Damage Assessment
by: Zhang, Lu, et al.
Published: (2023)
by: Zhang, Lu, et al.
Published: (2023)
Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
by: Newman, Thomas, et al.
Published: (2024)
by: Newman, Thomas, et al.
Published: (2024)
Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)
by: Sottosanti, Andrea, et al.
Published: (2025)
Local graph estimation with pathwise false discovery control
by: Melikechi, Omar, et al.
Published: (2025)
by: Melikechi, Omar, et al.
Published: (2025)
Feature aware covariance estimation, with application to mixtures of chemical exposures
by: Bersson, Elizabeth, et al.
Published: (2025)
by: Bersson, Elizabeth, et al.
Published: (2025)
A Multivariate Multilevel Longitudinal Functional Model for Repeatedly Observed Human Movement Data
by: Gunning, Edward, et al.
Published: (2024)
by: Gunning, Edward, et al.
Published: (2024)
A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
by: Chakraborty, Chitradipa, et al.
Published: (2025)
by: Chakraborty, Chitradipa, et al.
Published: (2025)
Spatial Confounding in Multivariate Areal Data Analysis
by: Wu, Kyle Lin, et al.
Published: (2025)
by: Wu, Kyle Lin, et al.
Published: (2025)
Link prediction in ecological networks under extreme taxonomic bias
by: Kampe, Jennifer N., et al.
Published: (2025)
by: Kampe, Jennifer N., et al.
Published: (2025)
Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling
by: Presicce, Luca, et al.
Published: (2026)
by: Presicce, Luca, et al.
Published: (2026)
Pathway-based Bayesian factor models for 'omics data
by: Mauri, Lorenzo, et al.
Published: (2026)
by: Mauri, Lorenzo, et al.
Published: (2026)
Data-Efficient Generative Modeling of Non-Gaussian Global Climate Fields via Scalable Composite Transformations
by: Brachem, Johannes, et al.
Published: (2026)
by: Brachem, Johannes, et al.
Published: (2026)
Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025)
by: Heaney, Matthew, et al.
Published: (2025)
Nonparametric IPSS: Fast, flexible feature selection with false discovery control
by: Melikechi, Omar, et al.
Published: (2024)
by: Melikechi, Omar, et al.
Published: (2024)
Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches
by: Buriticá, Gloria, et al.
Published: (2024)
by: Buriticá, Gloria, et al.
Published: (2024)
A Zero-Inflated Poisson Latent Position Cluster Model
by: Lu, Chaoyi, et al.
Published: (2025)
by: Lu, Chaoyi, et al.
Published: (2025)
Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
by: Lin, Zhengzhi, et al.
Published: (2025)
by: Lin, Zhengzhi, et al.
Published: (2025)
Warped multifidelity Gaussian processes for data fusion of skewed environmental data
by: Colombo, Pietro, et al.
Published: (2024)
by: Colombo, Pietro, et al.
Published: (2024)
Multivariate Functional Linear Discriminant Analysis: An Application to Inflammatory Bowel Disease Classification
by: Liu, Limeng, et al.
Published: (2025)
by: Liu, Limeng, et al.
Published: (2025)
Multiscale Multi-Type Spatial Bayesian Analysis for High-Dimensional Data with Application to Wildfires and Migration
by: Zhou, Shijie, et al.
Published: (2024)
by: Zhou, Shijie, et al.
Published: (2024)
Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
by: Huang, Hsin-Hsiung, et al.
Published: (2026)
A Comparative Study of Imputation Methods for Multivariate Ordinal Data
by: Wongkamthong, Chayut, et al.
Published: (2020)
by: Wongkamthong, Chayut, et al.
Published: (2020)
A Semi-Parametric Bayesian Spatial Model for Rainfall Events in Geographically Complex Domains
by: Onorati, Paolo, et al.
Published: (2025)
by: Onorati, Paolo, et al.
Published: (2025)
Similar Items
-
Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
by: Wakayama, Tomoya, et al.
Published: (2024) -
Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2025) -
Graph-constrained Analysis for Multivariate Functional Data
by: Dey, Debangan, et al.
Published: (2022) -
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025) -
Detecting Spatial Health Disparities Using Disease Maps
by: Aiello, Luca, et al.
Published: (2023)