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Biostatistics (Oxford, England)|January 20, 2026
Shortcomings of deep learning for distributional predictors: a noteBonnie B Smith, Abhirup Datta, Brian CaffoElectronic Journal of Statistics|October 11, 2024
Direct Bayesian linear regression for distribution-valued covariatesBohao Tang, Sandipan Pramanik, Yi Zhao, et al.Biorxiv : the Preprint Server for Biology|May 3, 2023
Regression models for partially localized fMRI connectivity analysesBonnie B Smith, Yi Zhao, Martin A Lindquist, et al.Frontiers in Neuroimaging|November 29, 2023
Regression models for partially localized fMRI connectivity analysesBonnie B Smith, Yi Zhao, Martin A Lindquist, et al.Biometrics|September 9, 2024
Visibility graph-based covariance functions for scalable spatial analysis in non-convex partially Euclidean domainsBrian Gilbert, Abhirup DattaJournal of the American Statistical Association|April 21, 2025
Neural networks for geospatial dataWentao Zhan, Abhirup DattaStatistics in Medicine|June 16, 2022
Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mappingLeiwen Gao, Abhirup Datta, Sudipto BanerjeeThe New England Journal of Statistics in Data Science|October 11, 2023
Modeling Multivariate Spatial Dependencies Using Graphical ModelsDebangan Dey, Abhirup Datta, Sudipto BanerjeeBiometrika|January 16, 2023
Graphical Gaussian Process Models for Highly Multivariate Spatial DataDebangan Dey, Abhirup Datta, Sudipto BanerjeeStatistical Analysis and Data Mining|April 19, 2021
Practical Bayesian Modeling and Inference for Massive Spatial Datasets On Modest Computing EnvironmentsLu Zhang, Abhirup Datta, Sudipto BanerjeePageof 18