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S. Bandyopadhyay

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Open access May 2025

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

A spatial autoregressive modeling framework, which maps observations at a location and its neighbors to independent random variables, and applies this model to analyze annual maximum precipitation data from ERA‐Interim‐driven Weather Research and Forecasting simulations, allowing it to explore its spatial extreme behav...

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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