3 papers
stat.ME2025
Random forests for binary geospatial data
Arkajyoti Saha, Abhirup Datta
The manuscript develops new method and theory for non-linear regression for binary dependent data using random forests. Existing implementations of random forests for binary data c…
stat.ME2024
A causal inference framework for spatial confounding
Brian Gilbert, Abhirup Datta, Joan A. Casey +1
Over the past few decades, addressing "spatial confounding" has become a major topic in spatial statistics. However, the literature has provided conflicting definitions, and many p…
stat.ME2024
Graph-constrained Analysis for Multivariate Functional Data
Debangan Dey, Sudipto Banerjee, Martin Lindquist +1
Functional Gaussian graphical models (GGM) used for analyzing multivariate functional data customarily estimate an unknown graphical model representing the conditional relationship…