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Author

S. Bandyopadhyay

2 papers indexed here

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Open access May 2025

Modeling Spatial Extremes Using Non‐Gaussian Spatial Autoregressive Models via Convolutional Neural Networks

Data derived from remote sensing or numerical simulations often have a regular gridded structure and are large in volume, making it challenging to find accurate spatial models that can fill in missing grid cells or simulate the process effectively, especially in the presence of spatial heterogeneity and heavy‐tailed ma...

Sweta Rai, Doug Nychka, S. Bandyopadhyay · 2 citations
Open access Aug 2026

Spatial Function-on-Function Quantile Regression

This paper introduces a novel penalized spatial function-on-function quantile regression framework for analyzing spatially indexed functional data, bridging a critical gap between spatial functional models and quantile regression. Our work makes three key contributions. First, we propose the first spatial function-on-f...

E. Fidan, U. Beyaztaş, S. Bandyopadhyay · 0 citations

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