Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes

1 February 2017

Papers citing "Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes"

7 / 7 papers shown

Title
Distributed model building and recursive integration for big spatial data modeling Emily C. Hector Brian J. Reich A. Eloyan 12 3 0 25 May 2023
Generalised Linear Mixed Model Specification, Analysis, Fitting, and Optimal Design in R with the glmmr Packages S. Watson 9 1 0 22 Mar 2023
Random forests for binary geospatial data Arkajyoti Saha A. Datta AI4CE 16 1 0 27 Feb 2023
Calibrating generalized predictive distributions Pei-Shien Wu Ryan Martin 19 7 0 04 Jul 2021
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains M. Peruzzi Sudipto Banerjee Andrew O. Finley 22 52 0 25 Mar 2020
Multi-Scale Process Modelling and Distributed Computation for Spatial Data A. Zammit‐Mangion J. Rougier 13 11 0 17 Jul 2019
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 98 391 0 02 Mar 2013