39 citations · 104 across the 26 of their papers we have counts for
28 papers
Consistency of common spatial estimators under spatial confounding
Brian Gilbert, Elizabeth L. Ogburn, Abhirup Datta
This paper addresses the asymptotic performance of popular spatial regression estimators of the linear effect of an exposure on an outcome under ``spatial confounding" -- the prese…
Density-on-Density Regression
Yi Zhao, Abhirup Datta, Bohao Tang +2
In this study, a density-on-density regression model is introduced, where the association between densities is elucidated via a warping function. The proposed model has the advanta…
Neural networks for geospatial data
Wentao Zhan, Abhirup Datta
Analysis of geospatial data has traditionally been model-based, with a mean model, customarily specified as a linear regression on the covariates, and a covariance model, encoding…
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…
Improved fMRI-based Pain Prediction using Bayesian Group-wise Functional Registration
Guoqing Wang, Abhirup Datta, Martin A. Lindquist
In recent years, neuroimaging has undergone a paradigm shift, moving away from the traditional brain mapping approach toward developing integrated, multivariate brain models that c…
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…