A Statistician's Overview of Physics-Informed Neural Networks for Spatio-Temporal Data
Fuente:
arXiv
Saved in:
| Main Authors: | Wikle, Christopher K., North, Joshua, Gopalan, Giri, Yoo, Myungsoo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Modeling high and low extremes with a novel dynamic spatio-temporal model
by: Yoo, Myungsoo, et al.
Published: (2025)
by: Yoo, Myungsoo, et al.
Published: (2025)
Echo State Networks for Spatio-Temporal Area-Level Data
by: Wang, Zhenhua, et al.
Published: (2024)
by: Wang, Zhenhua, et al.
Published: (2024)
Modeling Spatio-temporal Extremes via Conditional Variational Autoencoders
by: Ma, Xiaoyu, et al.
Published: (2025)
by: Ma, Xiaoyu, et al.
Published: (2025)
A Criterion for Aggregation Error for Multivariate Spatial Data
by: Daw, Ranadeep, et al.
Published: (2023)
by: Daw, Ranadeep, et al.
Published: (2023)
Elements of Conformal Prediction for Statisticians
by: Sesia, Matteo, et al.
Published: (2026)
by: Sesia, Matteo, et al.
Published: (2026)
Emulation with uncertainty quantification of regional sea-level change caused by the Antarctic Ice Sheet
by: Yoo, Myungsoo, et al.
Published: (2024)
by: Yoo, Myungsoo, et al.
Published: (2024)
STACI: Spatio-Temporal Aleatoric Conformal Inference
by: Feng, Brandon R., et al.
Published: (2025)
by: Feng, Brandon R., et al.
Published: (2025)
Accounting for variable detection functions in temporal abundance modeling via transfer learning
by: Collins, Kevin M., et al.
Published: (2026)
by: Collins, Kevin M., et al.
Published: (2026)
Composite Dyadic Models for Spatio-Temporal Data
by: Schwob, Michael R, et al.
Published: (2023)
by: Schwob, Michael R, et al.
Published: (2023)
Causal health impacts of power plant emission controls under modeled and uncertain physical process interference
by: Wikle, Nathan B., et al.
Published: (2023)
by: Wikle, Nathan B., et al.
Published: (2023)
Matrix-Variate Regression Model for Multivariate Spatio-Temporal Data
by: Diniz, Carlos A. Ribeiro, et al.
Published: (2025)
by: Diniz, Carlos A. Ribeiro, et al.
Published: (2025)
Inference for Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
by: Wang, Shuwan, et al.
Published: (2025)
by: Wang, Shuwan, et al.
Published: (2025)
INLA-RF: A Hybrid Modeling Strategy for Spatio-Temporal Environmental Data
by: Figueira, Mario, et al.
Published: (2025)
by: Figueira, Mario, et al.
Published: (2025)
Sequential Monte Carlo for Cut-Bayesian Posterior Computation
by: Mathews, Joseph, et al.
Published: (2024)
by: Mathews, Joseph, et al.
Published: (2024)
A flexible class of priors for orthonormal matrices with basis function-specific structure
by: North, Joshua S., et al.
Published: (2023)
by: North, Joshua S., et al.
Published: (2023)
Matrix Autoregressive Model with Vector Time Series Covariates for Spatio-Temporal Data
by: Sun, Hu, et al.
Published: (2023)
by: Sun, Hu, et al.
Published: (2023)
Robust Spatio-Temporal Distributional Regression
by: Momozaki, Tomotaka, et al.
Published: (2025)
by: Momozaki, Tomotaka, et al.
Published: (2025)
The Bayesian Gaussian Process Latent Variable Model for Spatio-Temporal Stream Networks
by: Basson, Marno, et al.
Published: (2026)
by: Basson, Marno, et al.
Published: (2026)
Bayesian Levy-Dynamic Spatio-Temporal Process: Towards Big Data Analysis
by: Bhattacharya, Sourabh
Published: (2021)
by: Bhattacharya, Sourabh
Published: (2021)
A New Spatio-Temporal Model Exploiting Hamiltonian Equations
by: Mazumder, Satyaki, et al.
Published: (2022)
by: Mazumder, Satyaki, et al.
Published: (2022)
ROC Curves for Spatial Point Patterns and Presence-Absence Data
by: Baddeley, Adrian, et al.
Published: (2025)
by: Baddeley, Adrian, et al.
Published: (2025)
Flexible and Scalable Bayesian Modelling of Spatio-Temporal Hawkes Processes
by: Liu, Wenqing, et al.
Published: (2026)
by: Liu, Wenqing, et al.
Published: (2026)
Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
by: Zhou, Lingxiao, et al.
Published: (2024)
by: Zhou, Lingxiao, et al.
Published: (2024)
A Zero-Inflated Spatio-Temporal Model for Integrating Fishery-Dependent and Independent Data under Preferential Sampling
by: Silva, Daniela, et al.
Published: (2025)
by: Silva, Daniela, et al.
Published: (2025)
Physics-encoded Spatio-temporal Regression
by: Li, Tongyu, et al.
Published: (2024)
by: Li, Tongyu, et al.
Published: (2024)
Amortized Bayesian Inference for Spatio-Temporal Extremes: A Copula Factor Model with Autoregression
by: Pasquier, Carlos A., et al.
Published: (2025)
by: Pasquier, Carlos A., et al.
Published: (2025)
Independence Testing for Temporal Data
by: Shen, Cencheng, et al.
Published: (2019)
by: Shen, Cencheng, et al.
Published: (2019)
stopp: An R Package for Spatio-Temporal Point Pattern Analysis
by: D'Angelo, Nicoletta, et al.
Published: (2024)
by: D'Angelo, Nicoletta, et al.
Published: (2024)
High-Dimensional Multivariate VAR Estimation with Spatio-Temporal Structure
by: Bai, Peiliang
Published: (2026)
by: Bai, Peiliang
Published: (2026)
Flexible and efficient emulation of spatial extremes processes via variational autoencoders
by: Zhang, Likun, et al.
Published: (2023)
by: Zhang, Likun, et al.
Published: (2023)
Non-stationary Spatio-Temporal Modeling Using the Stochastic Advection-Diffusion Equation
by: Berild, Martin Outzen, et al.
Published: (2024)
by: Berild, Martin Outzen, et al.
Published: (2024)
A Dynamical Model for Spatio-Temporal Processes Motivated by Second-Order Partial Differential Equations
by: Zhang, Yutong, et al.
Published: (2025)
by: Zhang, Yutong, et al.
Published: (2025)
Multivariate Spatio-Temporal Neural Hawkes Processes
by: Chukwuemeka, Christopher, et al.
Published: (2026)
by: Chukwuemeka, Christopher, et al.
Published: (2026)
A Survey on Differential Privacy for SpatioTemporal Data in Transportation Research
by: Bhadani, Rahul
Published: (2024)
by: Bhadani, Rahul
Published: (2024)
Robust and Conjugate Spatio-Temporal Gaussian Processes
by: Laplante, William, et al.
Published: (2025)
by: Laplante, William, et al.
Published: (2025)
Spatio-Temporal Autoregressions for High Dimensional Matrix-Valued Time Series
by: Dou, Baojun, et al.
Published: (2025)
by: Dou, Baojun, et al.
Published: (2025)
Integrating Expert Knowledge and Recursive Bayesian Inference: A Framework for Spatial and Spatio-Temporal Data Challenges
by: Figueira, Mario, et al.
Published: (2025)
by: Figueira, Mario, et al.
Published: (2025)
Modeling Spatio-Temporal Transport: From Rigid Advection to Realistic Dynamics
by: Battagliola, Maria Laura, et al.
Published: (2023)
by: Battagliola, Maria Laura, et al.
Published: (2023)
Mapping Urban Air Quality from Mobile Sensors Using Spatio-Temporal Geostatistics
by: Idir, Yacine Mohamed, et al.
Published: (2025)
by: Idir, Yacine Mohamed, et al.
Published: (2025)
Intrinsic Random Functions and Parametric Covariance Models of Spatio-Temporal Random Processes on the Sphere
by: Kim, Jongwook, et al.
Published: (2025)
by: Kim, Jongwook, et al.
Published: (2025)
Similar Items
-
Modeling high and low extremes with a novel dynamic spatio-temporal model
by: Yoo, Myungsoo, et al.
Published: (2025) -
Echo State Networks for Spatio-Temporal Area-Level Data
by: Wang, Zhenhua, et al.
Published: (2024) -
Modeling Spatio-temporal Extremes via Conditional Variational Autoencoders
by: Ma, Xiaoyu, et al.
Published: (2025) -
A Criterion for Aggregation Error for Multivariate Spatial Data
by: Daw, Ranadeep, et al.
Published: (2023) -
Elements of Conformal Prediction for Statisticians
by: Sesia, Matteo, et al.
Published: (2026)