spNNGP R package for Nearest Neighbor Gaussian Process models

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spNNGP R package for Nearest Neighbor Gaussian Process models

24 January 2020

Andrew O. Finley

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Papers citing "spNNGP R package for Nearest Neighbor Gaussian Process models"

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Title
Bayesian Spatial Predictive Synthesis D. Cabel S. Sugasawa Masahiro Kato K. Takanashi K. McAlinn 155 4 0 28 Jan 2025
The inverse Kalman filter X. Fang Mengyang Gu 66 1 0 14 Jul 2024
Minibatch Markov chain Monte Carlo Algorithms for Fitting Gaussian Processes Matthew J. Heaton Jacob A. Johnson 43 1 0 26 Oct 2023
Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study A. Hazra Pratik Nag Rishikesh Yadav Ying Sun 61 4 0 10 Aug 2023
Random forests for binary geospatial data Arkajyoti Saha A. Datta AI4CE 118 2 0 27 Feb 2023
Vecchia-approximated Deep Gaussian Processes for Computer Experiments Annie Sauer A. Cooper R. Gramacy 74 36 0 06 Apr 2022
Modelling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data using FRK Matthew Sainsbury-Dale A. Zammit‐Mangion Noel Cressie 38 6 0 06 Oct 2021
Random Forests for dependent data Arkajyoti Saha Sumanta Basu A. Datta AI4CE 10 8 0 30 Jul 2020
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains M. Peruzzi Sudipto Banerjee Andrew O. Finley 74 55 0 25 Mar 2020