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A Case Study Competition Among Methods for Analyzing Large Spatial Data.
Heaton MJ, Datta A, Finley AO, Furrer R, Guinness J, Guhaniyogi R, Gerber F, Gramacy RB, Hammerling D, Katzfuss M, Lindgren F, Nychka DW, Sun F, Zammit-Mangion A. Heaton MJ, et al. Among authors: datta a. J Agric Biol Environ Stat. 2019;24(3):398-425. doi: 10.1007/s13253-018-00348-w. Epub 2018 Dec 14. J Agric Biol Environ Stat. 2019. PMID: 31496633 Free PMC article.
On nearest-neighbor Gaussian process models for massive spatial data.
Datta A, Banerjee S, Finley AO, Gelfand AE. Datta A, et al. Wiley Interdiscip Rev Comput Stat. 2016 Sep-Oct;8(5):162-171. doi: 10.1002/wics.1383. Epub 2016 Aug 4. Wiley Interdiscip Rev Comput Stat. 2016. PMID: 29657666 Free PMC article.
However, the storage and computational requirements for GP models are infeasible for large spatial datasets. Nearest Neighbor Gaussian Processes (Datta A, Banerjee S, Finley AO, Gelfand AE. Hierarchical nearest-neighbor gaussian process models for large geostatistic …
However, the storage and computational requirements for GP models are infeasible for large spatial datasets. Nearest Neighbor Gaussian Proce …
Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes.
Finley AO, Datta A, Cook BC, Morton DC, Andersen HE, Banerjee S. Finley AO, et al. Among authors: datta a. J Comput Graph Stat. 2019;28(2):401-414. doi: 10.1080/10618600.2018.1537924. Epub 2019 Apr 1. J Comput Graph Stat. 2019. PMID: 31543693 Free PMC article.
We consider alternate formulations of recently proposed hierarchical Nearest Neighbor Gaussian Process (NNGP) models (Datta et al., 2016a) for improved convergence, faster computing time, and more robust and reproducible Bayesian inference. ...Computational and inferential …
We consider alternate formulations of recently proposed hierarchical Nearest Neighbor Gaussian Process (NNGP) models (Datta et al., 2 …
2,464 results