41 citations · 41 across the 14 of their papers we have counts for
16 papers
Spatial function-on-function quantile regression
Eylul Fidan, Ufuk Beyaztas, Soutir Bandyopadhyay
This paper introduces a novel penalized spatial function-on-function quantile regression framework for analyzing spatially indexed functional data, bridging a critical gap between…
Local Variable and Neighborhood Selection for Firearm Fatality in the Southeast USA
Debjoy Thakur, Lingyuan Zhao, Soutir Bandyopadhyay
A major public health concern in the United States (US) is gun-related deaths. The number of gun injuries largely varies spatially because of county-wise heterogeneity of race, sex…
Cumulative Logit Ordinal Regression with Proportional Odds under Nonignorable Missing Response -- Application to Phase III Trial
Arnab Kumar Maity, Huaming Tan, Vivek Pradhan +1
Missing data are inevitable in clinical trials, and trials that produce categorical ordinal responses are not exempted from this. Typically, missing values in the data occur due to…
Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks
Sweta Rai, Douglas W. Nychka, Soutir Bandyopadhyay
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…
Frequency Domain Resampling for Gridded Spatial Data
Souvick Bera, Daniel J. Nordman, Soutir Bandyopadhyay
In frequency domain analysis for spatial data, spectral averages based on the periodogram often play an important role in understanding spatial covariance structure, but also have…
A Statistical Framework for District Energy Long-term Electric Load Forecasting
Emily Royal, Soutir Bandyopadhyay, Alexandra Newman +2
An accurate forecast of electric demand is essential for the optimal design of a generation system. For district installations, the projected lifespan may extend one or two decades…