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20142023
most citedPractical Bayesian Modeling and Inference for Massive Spatial Datasets On Modest Computing Environments

39 citations · 104 across the 26 of their papers we have counts for

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stat.ML2023

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…

stat.ML2020★ 6 cited

Random Forests for dependent data

Arkajyoti Saha, Sumanta Basu, Abhirup Datta

Random forest (RF) is one of the most popular methods for estimating regression functions. The local nature of the RF algorithm, based on intra-node means and variances, is ideal w…