Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Merge two items
In other projects
Discussion
View source
View history
Purge
English
Log in

Smoothed Full-Scale Approximation of Gaussian Process Models for Computation of Large Spatial Datasets

From MaRDI portal
Publication:5243733
Jump to:navigation, search

DOI10.5705/ss.202017.0008zbMath1432.62158OpenAlexW2778262629MaRDI QIDQ5243733

Bohai Zhang, Jianhua Z. Huang, Huiyan Sang

Publication date: 19 November 2019

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5705/ss.202017.0008


zbMATH Keywords

Markov chain Monte Carloconditional likelihoodspatial covariance functionsfull-scale approximation


Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Gaussian processes (60G15) Applications of statistics to environmental and related topics (62P12) Monte Carlo methods (65C05) Statistical aspects of big data and data science (62R07)


Related Items (1)

A general framework for Vecchia approximations of Gaussian processes







This page was built for publication: Smoothed Full-Scale Approximation of Gaussian Process Models for Computation of Large Spatial Datasets

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:5243733&oldid=19866719"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
MaRDI portal item
This page was last edited on 8 February 2024, at 19:10.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki