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Abhirup Datta

Showing results (1-10 of 51) with videos related to

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Biometrics|September 9, 2024
Visibility graph-based covariance functions for scalable spatial analysis in non-convex partially Euclidean domainsBrian Gilbert, Abhirup Datta
Journal of the American Statistical Association|April 21, 2025
Neural networks for geospatial dataWentao Zhan, Abhirup Datta
Statistics in Medicine|June 16, 2022
Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mappingLeiwen Gao, Abhirup Datta, Sudipto Banerjee
The New England Journal of Statistics in Data Science|October 11, 2023
Modeling Multivariate Spatial Dependencies Using Graphical ModelsDebangan Dey, Abhirup Datta, Sudipto Banerjee
Biometrika|January 16, 2023
Graphical Gaussian Process Models for Highly Multivariate Spatial DataDebangan Dey, Abhirup Datta, Sudipto Banerjee
Statistical Analysis and Data Mining|April 19, 2021
Practical Bayesian Modeling and Inference for Massive Spatial Datasets On Modest Computing EnvironmentsLu Zhang, Abhirup Datta, Sudipto Banerjee
Plos Genetics|April 20, 2022
Efficient estimation of SNP heritability using Gaussian predictive process in large scale cohort studiesSouvik Seal, Abhirup Datta, Saonli Basu
Statistics and Its Interface|September 24, 2019
Bayesian High-Dimensional Regression for Change Point AnalysisAbhirup Datta, Hui Zou, Sudipto Banerjee
Journal of Open Source Software|April 20, 2023
RandomForestsGLS: An R package for Random Forests for dependent dataArkajyoti Saha, Sumanta Basu, Abhirup Datta
Biometrics|March 31, 2021
A transformation-free linear regression for compositional outcomes and predictorsJacob Fiksel, Scott Zeger, Abhirup Datta
Pageof 6

Showing results (1-10 of 51) with videos related to

Sort By:
Pageof 6
Biometrics|September 9, 2024
Visibility graph-based covariance functions for scalable spatial analysis in non-convex partially Euclidean domainsBrian Gilbert, Abhirup Datta
Journal of the American Statistical Association|April 21, 2025
Neural networks for geospatial dataWentao Zhan, Abhirup Datta
Statistics in Medicine|June 16, 2022
Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mappingLeiwen Gao, Abhirup Datta, Sudipto Banerjee
The New England Journal of Statistics in Data Science|October 11, 2023
Modeling Multivariate Spatial Dependencies Using Graphical ModelsDebangan Dey, Abhirup Datta, Sudipto Banerjee
Biometrika|January 16, 2023
Graphical Gaussian Process Models for Highly Multivariate Spatial DataDebangan Dey, Abhirup Datta, Sudipto Banerjee
Statistical Analysis and Data Mining|April 19, 2021
Practical Bayesian Modeling and Inference for Massive Spatial Datasets On Modest Computing EnvironmentsLu Zhang, Abhirup Datta, Sudipto Banerjee
Plos Genetics|April 20, 2022
Efficient estimation of SNP heritability using Gaussian predictive process in large scale cohort studiesSouvik Seal, Abhirup Datta, Saonli Basu
Statistics and Its Interface|September 24, 2019
Bayesian High-Dimensional Regression for Change Point AnalysisAbhirup Datta, Hui Zou, Sudipto Banerjee
Journal of Open Source Software|April 20, 2023
RandomForestsGLS: An R package for Random Forests for dependent dataArkajyoti Saha, Sumanta Basu, Abhirup Datta
Biometrics|March 31, 2021
A transformation-free linear regression for compositional outcomes and predictorsJacob Fiksel, Scott Zeger, Abhirup Datta
Pageof 6