E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Panja, Madhurima, Chakraborty, Tanujit, Biswas, Anubhab, Deb, Soudeep |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution
by: Jahan, Nourin, et al.
Published: (2026)
by: Jahan, Nourin, et al.
Published: (2026)
Real-time forecasting within soccer matches through a Bayesian lens
by: Divekar, Chinmay, et al.
Published: (2023)
by: Divekar, Chinmay, et al.
Published: (2023)
Neural ARFIMA model for forecasting BRIC exchange rates with long memory
by: Chakraborty, Tanujit, et al.
Published: (2025)
by: Chakraborty, Tanujit, et al.
Published: (2025)
Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes
by: Sharma, Bharat, et al.
Published: (2025)
by: Sharma, Bharat, et al.
Published: (2025)
Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
by: Pherwani, Pranay, et al.
Published: (2024)
by: Pherwani, Pranay, et al.
Published: (2024)
Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics
by: Pathak, Rajdeep, et al.
Published: (2026)
by: Pathak, Rajdeep, et al.
Published: (2026)
A Spatiotemporal, Quasi-experimental Causal Inference Approach to Characterize the Effects of Global Plastic Waste Export and Burning on Air Quality Using Remotely Sensed Data
by: Considine, Ellen M., et al.
Published: (2025)
by: Considine, Ellen M., et al.
Published: (2025)
Extreme-Path Benchmarks for Sequential Probability Forecasts
by: Pipping-Gamón, Jonathan, et al.
Published: (2026)
by: Pipping-Gamón, Jonathan, et al.
Published: (2026)
Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood Risk
by: Pasche, Olivier C., et al.
Published: (2022)
by: Pasche, Olivier C., et al.
Published: (2022)
Spatial Deep Convolutional Neural Networks
by: Wang, Qi, et al.
Published: (2024)
by: Wang, Qi, et al.
Published: (2024)
A Deep Learning Synthetic Likelihood Approximation of a Non-stationary Spatial Model for Extreme Streamflow Forecasting
by: Majumder, Reetam, et al.
Published: (2022)
by: Majumder, Reetam, et al.
Published: (2022)
A divide-and-conquer approach for spatio-temporal analysis of large house price data from Greater London
by: Gupta, Kapil, et al.
Published: (2024)
by: Gupta, Kapil, et al.
Published: (2024)
Statistics of Extremes for Neuroscience
by: Redondo, Paolo V., et al.
Published: (2024)
by: Redondo, Paolo V., et al.
Published: (2024)
Directional Dependence of Extreme Events
by: Garcin, Matthieu, et al.
Published: (2026)
by: Garcin, Matthieu, et al.
Published: (2026)
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)
Spatiotemporal clustering of GHGs emissions in Europe: exploring the role of spatial component
by: Morelli, Caterina, et al.
Published: (2025)
by: Morelli, Caterina, et al.
Published: (2025)
A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
by: Chakraborty, Chitradipa, et al.
Published: (2025)
by: Chakraborty, Chitradipa, et al.
Published: (2025)
Cluster-Based Bayesian SIRD Modeling of Chickenpox Epidemiology in India
by: Mukherjee, Nayana, et al.
Published: (2026)
by: Mukherjee, Nayana, et al.
Published: (2026)
Extreme value methods for estimating rare events in Utopia
by: André, L. M., et al.
Published: (2023)
by: André, L. M., et al.
Published: (2023)
Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches
by: Buriticá, Gloria, et al.
Published: (2024)
by: Buriticá, Gloria, et al.
Published: (2024)
A Doubly-Flexible Model Based on Generalized Gamma Frailty for Two-component Load-sharing Systems
by: Biswas, Shilpi, et al.
Published: (2025)
by: Biswas, Shilpi, 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)
Scaleable Dynamic Forecast Reconciliation
by: Hollyman, Ross, et al.
Published: (2024)
by: Hollyman, Ross, et al.
Published: (2024)
Spatiotemporal causal inference with arbitrary spillover and carryover effects: Airstrikes and insurgent violence in the Iraq War
by: Mukaigawara, Mitsuru, et al.
Published: (2025)
by: Mukaigawara, Mitsuru, et al.
Published: (2025)
Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
by: Antonelli, Joseph, et al.
Published: (2024)
by: Antonelli, Joseph, et al.
Published: (2024)
A geometric approach in non-parametric Changepoint detection in circular data
by: Biswas, Surojit, et al.
Published: (2024)
by: Biswas, Surojit, et al.
Published: (2024)
Causal Discovery in Multivariate Extremes with a Hydrological Analysis of Swiss River Discharges
by: Mhalla, Linda, et al.
Published: (2024)
by: Mhalla, Linda, et al.
Published: (2024)
A Convolution Process for Sea Surface Temperature Hot-Spot Identification in the Mediterranean Sea
by: Marchesin, Leonardo, et al.
Published: (2026)
by: Marchesin, Leonardo, et al.
Published: (2026)
A Time-Scaled ETAS Model for Earthquake Forecasting
by: Das, Agniva, et al.
Published: (2025)
by: Das, Agniva, et al.
Published: (2025)
Forecasting sub-population mortality using credibility theory
by: Lindholm, Mathias, et al.
Published: (2025)
by: Lindholm, Mathias, et al.
Published: (2025)
Estimating Metocean Environments Associated with Extreme Structural Response to Demonstrate the Dangers of Environmental Contour Methods
by: Speers, Matthew, et al.
Published: (2024)
by: Speers, Matthew, et al.
Published: (2024)
Extreme-value modelling of migratory bird arrival dates: Insights from citizen science data
by: Koh, Jonathan, et al.
Published: (2023)
by: Koh, Jonathan, et al.
Published: (2023)
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
by: Liu, Xueqing, et al.
Published: (2023)
by: Liu, Xueqing, et al.
Published: (2023)
Parameter Estimation and Seasonal Modification of the Fractional Poisson Process with Application to Vorticity Extremes over the North Atlantic
by: Mendel, Merle, et al.
Published: (2025)
by: Mendel, Merle, et al.
Published: (2025)
Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data
by: Park, Seeun, et al.
Published: (2024)
by: Park, Seeun, et al.
Published: (2024)
Mapping Incidence and Prevalence Peak Data for SIR Forecasting Applications
by: Murph, Alexander C., et al.
Published: (2024)
by: Murph, Alexander C., et al.
Published: (2024)
Sequential Methods for Error Correction of Probabilistic Wind Power Forecasts
by: Jørgensen, Bastian Schmidt, et al.
Published: (2025)
by: Jørgensen, Bastian Schmidt, et al.
Published: (2025)
Optimising football transfer strategy under budget constraints: A weighted multi-criteria approach
by: Basu, Tathagata, et al.
Published: (2026)
by: Basu, Tathagata, et al.
Published: (2026)
Multivariate Spatio-temporal Modelling for Completing Cancer Registries and Forecasting Incidence
by: Retegui, Garazi, et al.
Published: (2025)
by: Retegui, Garazi, et al.
Published: (2025)
A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
by: Pan, Tianyi, et al.
Published: (2026)
by: Pan, Tianyi, et al.
Published: (2026)
Similar Items
-
Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution
by: Jahan, Nourin, et al.
Published: (2026) -
Real-time forecasting within soccer matches through a Bayesian lens
by: Divekar, Chinmay, et al.
Published: (2023) -
Neural ARFIMA model for forecasting BRIC exchange rates with long memory
by: Chakraborty, Tanujit, et al.
Published: (2025) -
Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes
by: Sharma, Bharat, et al.
Published: (2025) -
Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
by: Pherwani, Pranay, et al.
Published: (2024)