Practical Bayesian Modeling and Inference for Massive Spatial Datasets On Modest Computing Environments

10 May 2019 Zhang Lu Datta Abhirup Banerjee Sudipto

With continued advances in Geographic Information Systems and related computational technologies, statisticians are often required to analyze very large spatial datasets. This has generated substantial interest over the last decade, already too vast to be summarized here, in scalable methodologies for analyzing large spatial datasets... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Categories


  • METHODOLOGY