most citedE-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting

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stat.AP2024★ 1 cited

E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting

Madhurima Panja, Tanujit Chakraborty, Anubhab Biswas +1

Modeling and forecasting air quality is crucial for effective air pollution management and protecting public health. Air quality data, characterized by nonlinearity, nonstationarit…

stat.AP2024

A divide-and-conquer approach for spatio-temporal analysis of large house price data from Greater London

Kapil Gupta, Soudeep Deb

Statistical research in real estate markets, particularly in understanding the spatio-temporal dynamics of house prices, has garnered significant attention in recent times. Althoug…