4 papers
Variational Approximated Restricted Maximum Likelihood Estimation for Spatial Data
Debjoy Thakur
This research considers a scalable inference for spatial data modeled through Gaussian intrinsic conditional autoregressive (ICAR) structures. The classical estimation method, rest…
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…
Multi-Resolution Analysis of Variable Selection for Road Safety in St. Louis and Its Neighboring Area
Debjoy Thakur, Soumendra N. Lahiri
Generally, Lasso, Adaptive Lasso, and SCAD are standard approaches in variable selection in the presence of a large number of predictors. In recent years, during intensity function…
A Subsampling Based Neural Network for Spatial Data
Debjoy Thakur
The application of deep neural networks in geospatial data has become a trending research problem in the present day. A significant amount of statistical research has already been…