Non-Gaussian covariate-dependent spatial measurement error model for analyzing big spatial data

DOI10.1007/s13253-018-00341-3zbMath1426.62358OpenAlexW2900613765MaRDI QIDQ1722626

Vahid Tadayon, Abdolrahman Rasekh

Publication date: 18 February 2019

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-018-00341-3

zbMATH Keywords

Bayesian site selectioncovariate-dependent spatial covariance functionGaussian log-Gaussian spatial measurement error modelspatial heteroscedasticity

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

Related Items (2)

A spatial logistic regression model based on a valid skew-Gaussian latent field ⋮ Spatial Linear Regression with Covariate Measurement Errors: Inference and Scalable Computation in a Functional Modeling Approach

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