Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
Fuente:
arXiv
Saved in:
| Main Authors: | Wakayama, Tomoya, Banerjee, Sudipto |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2025)
by: Pan, Soumyakanti, 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)
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)
Spatiotemporal factor models for functional data with application to population map forecast
by: Wakayama, Tomoya, et al.
Published: (2023)
by: Wakayama, Tomoya, et al.
Published: (2023)
Similarity-based Random Partition Distribution for Clustering Functional Data
by: Wakayama, Tomoya, et al.
Published: (2023)
by: Wakayama, Tomoya, et al.
Published: (2023)
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)
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)
Bayesian Geostatistics Using Predictive Stacking
by: Zhang, Lu, et al.
Published: (2023)
by: Zhang, Lu, et al.
Published: (2023)
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression
by: Wakayama, Tomoya
Published: (2024)
by: Wakayama, Tomoya
Published: (2024)
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)
Graph-constrained Analysis for Multivariate Functional Data
by: Dey, Debangan, et al.
Published: (2022)
by: Dey, Debangan, et al.
Published: (2022)
Effective Bayesian Modeling of Large Spatiotemporal Count Data Using Autoregressive Gamma Processes
by: Cheng, Yifan, et al.
Published: (2025)
by: Cheng, Yifan, et al.
Published: (2025)
Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
by: Li, Dayi, et al.
Published: (2024)
by: Li, Dayi, et al.
Published: (2024)
Ensemble Prediction via Covariate-dependent Stacking
by: Wakayama, Tomoya, et al.
Published: (2024)
by: Wakayama, Tomoya, 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)
Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
by: Lee, Jooyeon, et al.
Published: (2025)
by: Lee, Jooyeon, et al.
Published: (2025)
Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)
by: Yang, Yumo, et al.
Published: (2025)
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)
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)
Soil Texture Prediction with Bayesian Generalized Additive Models for Spatial Compositional Data
by: Martínez-Minaya, Joaquín, et al.
Published: (2025)
by: Martínez-Minaya, Joaquín, et al.
Published: (2025)
Exploring Learning Rate Selection in Generalised Bayesian Inference using Posterior Predictive Checks
by: Zafar, Schyan, et al.
Published: (2024)
by: Zafar, Schyan, et al.
Published: (2024)
Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
by: Zhu, Zihan, et al.
Published: (2026)
by: Zhu, Zihan, et al.
Published: (2026)
Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
by: Bhuyan, Prajamitra, et al.
Published: (2026)
by: Bhuyan, Prajamitra, et al.
Published: (2026)
Prediction Inference Using Generalized Functional Mixed Effects Models
by: Zhou, Xinkai, et al.
Published: (2025)
by: Zhou, Xinkai, et al.
Published: (2025)
Statistical Process Monitoring based on Functional Data Analysis
by: Centofanti, Fabio
Published: (2025)
by: Centofanti, Fabio
Published: (2025)
Parameter Inference for Degenerate Diffusion Processes
by: Iguchi, Yuga, et al.
Published: (2023)
by: Iguchi, Yuga, et al.
Published: (2023)
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)
Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations
by: Jonker, Marianne A, et al.
Published: (2024)
by: Jonker, Marianne A, et al.
Published: (2024)
Bayesian Hierarchical Modeling for Predicting Spatially Correlated Curves in Irregular Domains: A Case Study on PM10 Pollution
by: Moreno, Alvaro Alexander Burbano, et al.
Published: (2024)
by: Moreno, Alvaro Alexander Burbano, et al.
Published: (2024)
A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)
by: Florez, Mauro, et al.
Published: (2025)
Bayesian Inference of Geometric Brownian Motion: An Extension with Jumps
by: Yan, Yifei, et al.
Published: (2025)
by: Yan, Yifei, et al.
Published: (2025)
Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)
by: Parra-Aldana, Cristian, et al.
Published: (2025)
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
by: Ma, Guoxuan, et al.
Published: (2023)
by: Ma, Guoxuan, et al.
Published: (2023)
The Use of Variational Inference for Lifetime Data with Spatial Correlations
by: Wang, Yueyao, et al.
Published: (2025)
by: Wang, Yueyao, et al.
Published: (2025)
Advances in Bayesian Modeling: Applications and Methods
by: Yan, Yifei, et al.
Published: (2025)
by: Yan, Yifei, et al.
Published: (2025)
Bayesian Multilevel Bivariate Spatial Modelling of Italian School Data
by: Cefalo, Leonardo, et al.
Published: (2024)
by: Cefalo, Leonardo, et al.
Published: (2024)
Bayesian Mixed Multidimensional Scaling for Auditory Processing
by: Rebaudo, Giovanni, et al.
Published: (2022)
by: Rebaudo, Giovanni, et al.
Published: (2022)
JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)
by: Dey, Pritam, 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)
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)
Similar Items
-
Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2025) -
Detecting Spatial Health Disparities Using Disease Maps
by: Aiello, Luca, et al.
Published: (2023) -
Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
by: Pan, Soumyakanti, et al.
Published: (2023) -
Spatiotemporal factor models for functional data with application to population map forecast
by: Wakayama, Tomoya, et al.
Published: (2023) -
Similarity-based Random Partition Distribution for Clustering Functional Data
by: Wakayama, Tomoya, et al.
Published: (2023)