Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data
Fuente:
arXiv
Saved in:
| Main Authors: | Saha, Sudipto, Bradley, Jonathan R. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Markov Random Fields with Proximity Constraints for Spatial Data
by: Saha, Sudipto, et al.
Published: (2024)
by: Saha, Sudipto, et al.
Published: (2024)
Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2024)
by: Pan, Soumyakanti, et al.
Published: (2024)
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)
Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
by: Wakayama, Tomoya, et al.
Published: (2024)
by: Wakayama, Tomoya, et al.
Published: (2024)
Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling
by: Presicce, Luca, et al.
Published: (2026)
by: Presicce, Luca, et al.
Published: (2026)
Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2025)
by: Pan, Soumyakanti, et al.
Published: (2025)
nimblewomble: An R package for Bayesian Wombling with nimble
by: Halder, Aritra, et al.
Published: (2025)
by: Halder, Aritra, et al.
Published: (2025)
Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
by: Zhou, Shijie, et al.
Published: (2023)
by: Zhou, Shijie, et al.
Published: (2023)
Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach
by: Presicce, Luca, et al.
Published: (2024)
by: Presicce, Luca, et al.
Published: (2024)
Exact Bayesian Inference for Multivariate Spatial Data of Any Size with Application to Air Pollution Monitoring
by: Clinch, Madelyn, et al.
Published: (2024)
by: Clinch, Madelyn, et al.
Published: (2024)
Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
by: Peruzzi, Michele, et al.
Published: (2021)
by: Peruzzi, Michele, et al.
Published: (2021)
Assessing Spatial Disparities: A Bayesian Linear Regression Approach
by: Wu, Kyle Lin, et al.
Published: (2024)
by: Wu, Kyle Lin, et al.
Published: (2024)
REX-SUB: A Scalable Subsampling Strategy for Modeling Large Spatial Datasets
by: Rios, Nicholas, et al.
Published: (2026)
by: Rios, Nicholas, et al.
Published: (2026)
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)
Finite Population Survey Sampling: An Unapologetic Bayesian Perspective
by: Banerjee, Sudipto
Published: (2023)
by: Banerjee, Sudipto
Published: (2023)
Spatial Confounding in Multivariate Areal Data Analysis
by: Wu, Kyle Lin, et al.
Published: (2025)
by: Wu, Kyle Lin, et al.
Published: (2025)
Bayesian Geostatistics Using Predictive Stacking
by: Zhang, Lu, et al.
Published: (2023)
by: Zhang, Lu, et al.
Published: (2023)
Novel Subsampling Strategies for Heavily Censored Reliability Data
by: Ruan, Yixiao, et al.
Published: (2024)
by: Ruan, Yixiao, et al.
Published: (2024)
Bayesian Data Sketching for Varying Coefficient Regression Models
by: Guhaniyogi, Rajarshi, et al.
Published: (2025)
by: Guhaniyogi, Rajarshi, et al.
Published: (2025)
Network Cross-Validation and Model Selection via Subsampling
by: Chakrabarty, Sayan, et al.
Published: (2025)
by: Chakrabarty, Sayan, et al.
Published: (2025)
Nonstationary Spatial Process Models with Spatially Varying Covariance Kernels
by: Coube-Sisqueille, Sébastien, et al.
Published: (2022)
by: Coube-Sisqueille, Sébastien, et al.
Published: (2022)
Restricted Spatial Regression is Reasonable Statistical Practice: Clarifications, Interpretations, and New Developments
by: Bradley, Jonathan R.
Published: (2024)
by: Bradley, Jonathan R.
Published: (2024)
Bayesian Spatiotemporal Wombling
by: Halder, Aritra, et al.
Published: (2024)
by: Halder, Aritra, et al.
Published: (2024)
On Statistical Inference for Rates of Change in Spatial Processes over Riemannian Manifolds
by: Li, Didong, et al.
Published: (2026)
by: Li, Didong, et al.
Published: (2026)
An Efficient Class of Bayesian Generalized Quadratic Nonlinear Dynamic Models with Application to Birth Rate Monitoring
by: Clinch, Madelyn, et al.
Published: (2025)
by: Clinch, Madelyn, et al.
Published: (2025)
Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation
by: Mittal, Prateek, et al.
Published: (2024)
by: Mittal, Prateek, et al.
Published: (2024)
Detecting Spatial Health Disparities Using Disease Maps
by: Aiello, Luca, et al.
Published: (2023)
by: Aiello, Luca, et al.
Published: (2023)
Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data
by: Duan, Jingyi, et al.
Published: (2024)
by: Duan, Jingyi, et al.
Published: (2024)
Enhancing Computational Efficiency in High-Dimensional Bayesian Analysis: Applications to Cancer Genomics
by: Agyare, Benjamin Osafo
Published: (2024)
by: Agyare, Benjamin Osafo
Published: (2024)
A Criterion for Aggregation Error for Multivariate Spatial Data
by: Daw, Ranadeep, et al.
Published: (2023)
by: Daw, Ranadeep, et al.
Published: (2023)
Amortized Bayesian inference for actigraph time sheet data from mobile devices
by: Zhou, Daniel, et al.
Published: (2026)
by: Zhou, Daniel, et al.
Published: (2026)
"Spatial Joint Models through Bayesian Structured Piece-wise Additive Joint Modelling for Longitudinal and Time-to-Event Data"
by: Rappl, Anja, et al.
Published: (2023)
by: Rappl, Anja, et al.
Published: (2023)
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)
Core-elements Subsampling for Alternating Least Squares
by: Xue, Dunyao, et al.
Published: (2025)
by: Xue, Dunyao, et al.
Published: (2025)
Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
by: Banerjee, Sudipto, et al.
Published: (2022)
by: Banerjee, Sudipto, et al.
Published: (2022)
Balanced Subsampling for Big Data with Categorical Covariates
by: Wang, Lin
Published: (2022)
by: Wang, Lin
Published: (2022)
A Bayesian Approach to Unit-level Dependent Multi-type Survey Data
by: Kong, Zewei, et al.
Published: (2026)
by: Kong, Zewei, et al.
Published: (2026)
Spatial Hyperspheric Models for Compositional Data
by: Schwob, Michael R., et al.
Published: (2024)
by: Schwob, Michael R., et al.
Published: (2024)
Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)
by: Jamshidian, Parsa, et al.
Published: (2025)
Bayesian Strategies for Repulsive Spatial Point Processes
by: Lu, Chaoyi, et al.
Published: (2024)
by: Lu, Chaoyi, et al.
Published: (2024)
Similar Items
-
Markov Random Fields with Proximity Constraints for Spatial Data
by: Saha, Sudipto, et al.
Published: (2024) -
Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2024) -
Multiscale Multi-Type Spatial Bayesian Analysis for High-Dimensional Data with Application to Wildfires and Migration
by: Zhou, Shijie, et al.
Published: (2024) -
Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
by: Wakayama, Tomoya, et al.
Published: (2024) -
Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling
by: Presicce, Luca, et al.
Published: (2026)