A Scalable Bayesian Spatiotemporal Model for Water Level Predictions using a Nearest Neighbor Gaussian Process Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Nagahama, Victor Hugo, Sweeney, James, Cahill, Niamh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Visualisation for Exploratory Modelling Analysis of Bayesian Hierarchical Models
by: Akinfenwa, Oluwayomi, et al.
Published: (2024)
by: Akinfenwa, Oluwayomi, et al.
Published: (2024)
Using Time Series Measures to Explore Family Planning Survey Data and Model-based Estimates
by: Akinfenwa, Oluwayomi, et al.
Published: (2026)
by: Akinfenwa, Oluwayomi, et al.
Published: (2026)
Enhancing the use of family planning service statistics using a Bayesian modelling approach to inform estimates of modern contraceptive use in low- and middle-income countries
by: Mooney, Shauna, et al.
Published: (2024)
by: Mooney, Shauna, et al.
Published: (2024)
reslr: An R package for relative sea level modelling
by: Upton, Maeve, et al.
Published: (2023)
by: Upton, Maeve, et al.
Published: (2023)
wdiexplorer: An R package Designed for Exploratory Analysis of World Development Indicators (WDI) Data
by: Akinfenwa, Oluwayomi, et al.
Published: (2025)
by: Akinfenwa, Oluwayomi, et al.
Published: (2025)
Scalable Spatiotemporal Prediction with Bayesian Neural Fields
by: Saad, Feras, et al.
Published: (2024)
by: Saad, Feras, et al.
Published: (2024)
Near‐Surface Maximum Wind Speed Prediction Using XGBoost Model Integrated Bayesian Optimization Algorithm and Based on K‐Nearest Neighbor Mutual Information Feature Selection
by: Xiaoyan Huang, et al.
Published: (2026)
by: Xiaoyan Huang, et al.
Published: (2026)
Scalable Spatiotemporal Modeling for Bicycle Count Prediction
by: Yadav, Rishikesh, et al.
Published: (2025)
by: Yadav, Rishikesh, et al.
Published: (2025)
Scalable Decisions using a Bayesian Decision-Theoretic Approach
by: Ng, Hoiyi, et al.
Published: (2026)
by: Ng, Hoiyi, et al.
Published: (2026)
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 noisy-input generalised additive model for relative sea-level change along the Atlantic coast of North America
by: Upton, Maeve, et al.
Published: (2023)
by: Upton, Maeve, et al.
Published: (2023)
Data is missing again -- Reconstruction of power generation data using $k$-Nearest Neighbors and spectral graph theory
by: Pierrot, Amandine, et al.
Published: (2024)
by: Pierrot, Amandine, et al.
Published: (2024)
Log-Gaussian Cox Processes for Spatiotemporal Traffic Fatality Estimation in Addis Ababa
by: Abebe, Yassin Tesfaw, et al.
Published: (2024)
by: Abebe, Yassin Tesfaw, et al.
Published: (2024)
Bayesian Statistical Modeling in Action for Estimation and Forecasting in Low- and Middle-income Countries: The Case of the Family Planning Estimation Tool
by: Alkema, Leontine, et al.
Published: (2024)
by: Alkema, Leontine, et al.
Published: (2024)
Enhanced Imputation of Marine Wave Observations Using a Nearest‐Neighbors Algorithm With Standardized Energy‐Based Wave Features
by: Tai‐Wen Hsu, et al.
Published: (2025)
by: Tai‐Wen Hsu, et al.
Published: (2025)
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 Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast
by: Lu, Yuchen, et al.
Published: (2025)
by: Lu, Yuchen, et al.
Published: (2025)
Integrating Marketing Channels into Quantile Transformation and Bayesian Optimization of Ensemble Kernels for Sales Prediction with Gaussian Process Models
by: Mirshekari, Shahin, et al.
Published: (2024)
by: Mirshekari, Shahin, et al.
Published: (2024)
Spatiotemporal Dynamics of Conflict Occurrence and Fatalities in Ethiopia: A Bayesian Model and Predictive Insights Using Event-level Data (1997--2024)
by: Abebe, Yassin Tesfaw, et al.
Published: (2025)
by: Abebe, Yassin Tesfaw, et al.
Published: (2025)
Reservoir Static Property Estimation Using Nearest-Neighbor Neural Network
by: Wang, Yuhe
Published: (2024)
by: Wang, Yuhe
Published: (2024)
Prospective Prediction of Body Mass Index Trajectories using Multi-task Gaussian Processes
by: Leroy, Arthur, et al.
Published: (2024)
by: Leroy, Arthur, et al.
Published: (2024)
Gaussian Process Modeling with Genotype x Environment Kernels for Wheat Performance Prediction
by: Friedli, Lea, et al.
Published: (2025)
by: Friedli, Lea, et al.
Published: (2025)
Enhancing the Accuracy of Spatio-Temporal Models for Wind Speed Prediction by Incorporating Bias-Corrected Crowdsourced Data
by: Organ, Eamonn, et al.
Published: (2025)
by: Organ, Eamonn, et al.
Published: (2025)
A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5 in an Urban Setting
by: Riley, Abi I., et al.
Published: (2025)
by: Riley, Abi I., et al.
Published: (2025)
A sub-hourly spatio-temporal statistical model for solar irradiance in Ireland using open-source data
by: Upton, Maeve, et al.
Published: (2025)
by: Upton, Maeve, et al.
Published: (2025)
Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
by: Menacher, Anna, et al.
Published: (2024)
by: Menacher, Anna, et al.
Published: (2024)
A Bayesian Approach for Earthquake Impact Modelling
by: Loake, Max Anderson, et al.
Published: (2024)
by: Loake, Max Anderson, et al.
Published: (2024)
Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows
by: Li, Xuechun, et al.
Published: (2025)
by: Li, Xuechun, et al.
Published: (2025)
Bayesian Restoration of Audio Degraded by Low-Frequency Pulses Modeled via Gaussian Process
by: de Carvalho, Hugo Tremonte, et al.
Published: (2020)
by: de Carvalho, Hugo Tremonte, et al.
Published: (2020)
Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)
by: Chen, Tinghua, et al.
Published: (2024)
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)
Enhancing Electrocardiography Data Classification Confidence: A Robust Gaussian Process Approach (MuyGPs)
by: Nnyaba, Ukamaka V., et al.
Published: (2024)
by: Nnyaba, Ukamaka V., et al.
Published: (2024)
Mind the Jumps: A Scalable Robust Local Gaussian Process for Multidimensional Response Surfaces with Discontinuities
by: Adjetey, Isaac, et al.
Published: (2025)
by: Adjetey, Isaac, et al.
Published: (2025)
Predicting COVID-19 hospitalisation using a mixture of Bayesian predictive syntheses
by: Kobayashi, Genya, et al.
Published: (2023)
by: Kobayashi, Genya, et al.
Published: (2023)
Bayesian Dynamic Gamma Models for Route-Level Travel Time Reliability
by: Sokolov, Vadim, et al.
Published: (2026)
by: Sokolov, Vadim, et al.
Published: (2026)
Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization
by: Li, Yezhuo, et al.
Published: (2025)
by: Li, Yezhuo, et al.
Published: (2025)
Scalable Bayesian Inference for Bradley--Terry Models with Ties: An Application to Honour Based Abuse
by: Seymour, Rowland G, et al.
Published: (2024)
by: Seymour, Rowland G, et al.
Published: (2024)
Scalable Gaussian Process for Learning Non-Ergodic Ground Motion Model from Physics-Based Simulations with Application to Power Infrastructure Assessment
by: Zhao, Jinyan, et al.
Published: (2026)
by: Zhao, Jinyan, et al.
Published: (2026)
A spatio-temporal statistical model for property valuation at country-scale with adjustments for regional submarkets
by: O'Donovan, Brian, et al.
Published: (2025)
by: O'Donovan, Brian, et al.
Published: (2025)
Bayesian Analysis of Hotel Booking Cancellations: A Hierarchical Modeling Approach
by: Yang, Yingdong
Published: (2025)
by: Yang, Yingdong
Published: (2025)
Similar Items
-
Visualisation for Exploratory Modelling Analysis of Bayesian Hierarchical Models
by: Akinfenwa, Oluwayomi, et al.
Published: (2024) -
Using Time Series Measures to Explore Family Planning Survey Data and Model-based Estimates
by: Akinfenwa, Oluwayomi, et al.
Published: (2026) -
Enhancing the use of family planning service statistics using a Bayesian modelling approach to inform estimates of modern contraceptive use in low- and middle-income countries
by: Mooney, Shauna, et al.
Published: (2024) -
reslr: An R package for relative sea level modelling
by: Upton, Maeve, et al.
Published: (2023) -
wdiexplorer: An R package Designed for Exploratory Analysis of World Development Indicators (WDI) Data
by: Akinfenwa, Oluwayomi, et al.
Published: (2025)