Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains

25 March 2020

Papers citing "Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains"

5 / 5 papers shown

Title
Bayesian Spatial Predictive Synthesis D. Cabel S. Sugasawa Masahiro Kato K. Takanashi K. McAlinn 91 4 0 28 Jan 2025
Stein's method for marginals on large graphical models Tiangang Cui Shuigen Liu X. Tong 43 0 0 15 Oct 2024
Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework Sudipto Banerjee 14 13 0 09 Sep 2021
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 45 232 0 11 Jul 2016
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 95 391 0 02 Mar 2013