Banerjee, Sudipto

1. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets
   2014/06/28 by Datta, Abhirup, Banerjee, Sudipto, Finley, Andrew O. +1 · 27 citations
   #FOS: Computer and information sciences #Methodology (stat.ME)
2. Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes
   2017/02/01 by Finley, Andrew O., Datta, Abhirup, Cook, Bruce C. +3 · 5 citations
   #Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences
3. Spatial disease mapping using Directed Acyclic Graph Auto-Regressive\n (DAGAR) models
   2017/04/25 by Abhirup Datta, Sudipto Banerjee, Datta, Abhirup +3 · 3 citations
   Economics, Econometrics and Finance · Medicine · Social Sciences · #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Health disparities and outcomes #Methodology (stat.ME) #Spatial and Panel Data Analysis
4. spNNGP R package for Nearest Neighbor Gaussian Process models
   2020/01/24 by Andrew O. Finley, Abhirup Datta, Finley, Andrew O. +3 · 3 citations
   Economics, Econometrics and Finance · Environmental Science · #Computation (stat.CO) #Economic and Environmental Valuation #Environmental Impact and Sustainability #FOS: Computer and information sciences #Spatial and Panel Data Analysis
5. Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian Manifolds
   2021/04/08 by Li, Didong, Tang, Wenpin, Banerjee, Sudipto · 3 citations
   #62G20 #62M30 #FOS: Mathematics #Statistics Theory (math.ST)
6. Bayesian spatially varying coefficient models in the spBayes R package
   2019/03/07 by Finley, Andrew O., Banerjee, Sudipto · 2 citations
   #Computation (stat.CO) #FOS: Computer and information sciences
7. Bayesian Geostatistics Using Predictive Stacking
   2023/04/24 by Lu Zhang, Zhang, Lu, Wenpin Tang +3 · 3 citations
   Computer Science · Engineering · Environmental Science · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Geochemistry and Geologic Mapping #Methodology (stat.ME) #Mineral Processing and Grinding #Soil Geostatistics and Mapping #Statistics Theory (math.ST)
8. Non-separable Dynamic Nearest-Neighbor Gaussian Process Models for Large spatio-temporal Data With an Application to Particulate Matter Analysis
   2015/10/24 by Datta, Abhirup, Banerjee, Sudipto, Finley, Andrew O. +2 · 1 citation
   #Applications (stat.AP) #FOS: Computer and information sciences
9. High-Dimensional Bayesian Geostatistics
   2017/05/20 by Banerjee, Sudipto · 1 citation
   #FOS: Computer and information sciences #Methodology (stat.ME)
10. Spatial Factor Models for High-Dimensional and Large Spatial Data: An\n Application in Forest Variable Mapping
    2018/01/06 by Daniel Taylor‐Rodríguez, Andrew O. Finley, Taylor-Rodriguez, Daniel +13 · 1 citation
    Environmental Science · #Remote Sensing and LiDAR Applications #Soil Geostatistics and Mapping #Atmospheric and Environmental Gas Dynamics
11. Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
    2022/08/12 by Banerjee, Sudipto, Chen, Xiang, Frankenburg, Ian +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
12. Multi-group Gaussian Processes
    2021/10/15 by Didong Li, Andrew Jones, Li, Didong +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Applications (stat.AP) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Optimal Experimental Design Methods
13. Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking
    2024/06/07 by Pan, Soumyakanti, Zhang, Lu, Bradley, Jonathan R. +1 · 1 citation
    #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)