Effective sample size for spatial regression models

DOI10.1214/18-EJS1460zbMath1407.62344OpenAlexW2892587556MaRDI QIDQ1616305

Jonathan Acosta, Ronny Vallejos

Publication date: 1 November 2018

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1538013686

zbMATH Keywords

covariance functionGaussian processhypothesis testingincreasing domainspatial regression model

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Gaussian processes (60G15) Asymptotic distribution theory in statistics (62E20) Geostatistics (86A32)

Related Items (4)

Feature screening for multiple responses ⋮ Assessing the estimation of nearly singular covariance matrices for modeling spatial variables ⋮ Assessing the effective sample size for large spatial datasets: a block likelihood approach ⋮ On the effective geographic sample size

Uses Software

• spBayes

Cites Work

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