Saved in:
| Main Authors: | Raim, Andrew M., Holan, Scott H., Bradley, Jonathan R., Wikle, Christopher K. |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/1904.12092 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Echo State Networks for Spatio-Temporal Area-Level Data
by: Wang, Zhenhua, et al.
Published: (2024)
by: Wang, Zhenhua, et al.
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)
An Anytime Valid Test for Complete Spatial Randomness
by: Dixit, Vaidehi, et al.
Published: (2025)
by: Dixit, Vaidehi, et al.
Published: (2025)
Incorporating Asymmetric Loss for Real Estate Prediction with Area-level Spatial Data
by: Dixit, Vaidehi, et al.
Published: (2024)
by: Dixit, Vaidehi, et al.
Published: (2024)
Incorporating Asymmetric Loss for Real Estate Prediction With Area‐Level Spatial Data
by: Vaidehi Dixit, et al.
Published: (2025)
by: Vaidehi Dixit, et al.
Published: (2025)
Bayesian Nonparametric Multivariate Spatial Mixture Mixed Effects Models with Application to American Community Survey Special Tabulations
by: Janicki, Ryan, et al.
Published: (2020)
by: Janicki, Ryan, et al.
Published: (2020)
Bayesian Methods to Improve The Accuracy of Differentially Private Measurements of Constrained Parameters
by: Janicki, Ryan, et al.
Published: (2024)
by: Janicki, Ryan, et al.
Published: (2024)
Direct Sampling with a Step Function
by: Raim, Andrew M.
Published: (2022)
by: Raim, Andrew M.
Published: (2022)
A Statistician's Overview of Physics-Informed Neural Networks for Spatio-Temporal Data
by: Wikle, Christopher K., et al.
Published: (2025)
by: Wikle, Christopher K., et al.
Published: (2025)
Modeling Spatio-temporal Extremes via Conditional Variational Autoencoders
by: Ma, Xiaoyu, et al.
Published: (2025)
by: Ma, Xiaoyu, et al.
Published: (2025)
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)
A Review of Tree‐Based Methods for Analyzing Survey Data
by: Diya Bhaduri, et al.
Published: (2025)
by: Diya Bhaduri, et al.
Published: (2025)
Rejection Sampling with Vertical Weighted Strips
by: Raim, Andrew M., et al.
Published: (2024)
by: Raim, Andrew M., et al.
Published: (2024)
Self-Tuned Rejection Sampling within Gibbs and a Case Study in Small Area Estimation
by: Raim, Andrew M., et al.
Published: (2025)
by: Raim, Andrew M., et al.
Published: (2025)
A Bayesian INLA-SPDE Approach to Spatio-Temporal Point-Grid Fusion with Change-of-Support and Misaligned Covariates
by: Zheng, Weiyue, et al.
Published: (2025)
by: Zheng, Weiyue, et al.
Published: (2025)
An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions
by: Raim, Andrew M., et al.
Published: (2016)
by: Raim, Andrew M., et al.
Published: (2016)
Variational Autoencoded Multivariate Spatial Fay-Herriot Models
by: Wang, Zhenhua, et al.
Published: (2025)
by: Wang, Zhenhua, et al.
Published: (2025)
Bayesian Unit-level Modeling of Categorical Survey Data with a Longitudinal Design
by: Vedensky, Daniel, et al.
Published: (2025)
by: Vedensky, Daniel, et al.
Published: (2025)
A Socio‐demographic Latent Space Approach to Spatial Data When Geography Is Important But not All‐Important 1
by: Saikat Nandy, et al.
Published: (2025)
by: Saikat Nandy, et al.
Published: (2025)
Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images
by: Ding, Lei, et al.
Published: (2022)
by: Ding, Lei, et al.
Published: (2022)
A Conway-Maxwell-Multinomial Distribution for Flexible Modeling of Clustered Categorical Data
by: Morris, Darcy Steeg, et al.
Published: (2019)
by: Morris, Darcy Steeg, et al.
Published: (2019)
Topic Modeling for Free-Response Text Data from a Complex Survey
by: Pais, Namitha V., et al.
Published: (2025)
by: Pais, Namitha V., et al.
Published: (2025)
Spatio-Temporal Graph Neural Networks for Infant Language Acquisition Prediction
by: Roxburgh, Andrew, et al.
Published: (2025)
by: Roxburgh, Andrew, et al.
Published: (2025)
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)
Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)
by: Zhang, Likun, et al.
Published: (2025)
by: Zhang, Likun, et al.
Published: (2025)
Robust and Conjugate Spatio-Temporal Gaussian Processes
by: Laplante, William, et al.
Published: (2025)
by: Laplante, William, et al.
Published: (2025)
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)
Probabilistic Forecasts of Fish Abundances With Spatio‐Temporal Models to Support Fisheries Management
by: Arnaud Grüss, et al.
Published: (2025)
by: Arnaud Grüss, et al.
Published: (2025)
Standardization for improved Spatio-Temporal Image Fusion
by: Goyena, Harkaitz, et al.
Published: (2025)
by: Goyena, Harkaitz, et al.
Published: (2025)
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)
UrbanGPT: Spatio-Temporal Large Language Models
by: Li, Zhonghang, et al.
Published: (2024)
by: Li, Zhonghang, et al.
Published: (2024)
Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data
by: Saha, Sudipto, et al.
Published: (2023)
by: Saha, Sudipto, et al.
Published: (2023)
STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications
by: Gao, Andrew, et al.
Published: (2025)
by: Gao, Andrew, et al.
Published: (2025)
Minimum Average Deviance Estimation for Sufficient Dimension Reduction
by: Adragni, Kofi P., et al.
Published: (2016)
by: Adragni, Kofi P., et al.
Published: (2016)
TaCo: Capturing Spatio-Temporal Semantic Consistency in Remote Sensing Change Detection
by: Guo, Han, et al.
Published: (2025)
by: Guo, Han, et al.
Published: (2025)
V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning
by: Cheng, Zixu, et al.
Published: (2025)
by: Cheng, Zixu, et al.
Published: (2025)
Modelling Spatio-Temporal Interactions For Compositional Action Recognition
by: Rajendiran, Ramanathan, et al.
Published: (2023)
by: Rajendiran, Ramanathan, et al.
Published: (2023)
R4: Retrieval-Augmented Reasoning for Vision-Language Models in 4D Spatio-Temporal Space
by: Sohn, Tin Stribor, et al.
Published: (2025)
by: Sohn, Tin Stribor, et al.
Published: (2025)
Image‐Based Spatio‐Temporal Interpolation for Split Rendering
by: M. Steiner, et al.
Published: (2025)
by: M. Steiner, et al.
Published: (2025)
Reprogramming Vision Foundation Models for Spatio-Temporal Forecasting
by: Chen, Changlu, et al.
Published: (2025)
by: Chen, Changlu, et al.
Published: (2025)
Similar Items
-
Echo State Networks for Spatio-Temporal Area-Level Data
by: Wang, Zhenhua, et al.
Published: (2024) -
A Criterion for Aggregation Error for Multivariate Spatial Data
by: Daw, Ranadeep, et al.
Published: (2023) -
An Anytime Valid Test for Complete Spatial Randomness
by: Dixit, Vaidehi, et al.
Published: (2025) -
Incorporating Asymmetric Loss for Real Estate Prediction with Area-level Spatial Data
by: Dixit, Vaidehi, et al.
Published: (2024) -
Incorporating Asymmetric Loss for Real Estate Prediction With Area‐Level Spatial Data
by: Vaidehi Dixit, et al.
Published: (2025)