A nonstationary spatial covariance model for processes driven by point sources

DOI10.1007/s13253-020-00404-4OpenAlexW3040291457MaRDI QIDQ2209876

Joshua L. Warren

Publication date: 5 November 2020

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

Full work available at URL: https://doi.org/10.1007/s13253-020-00404-4

zbMATH Keywords

cross-validationpolar coordinate systemKrigingBayesian modeling

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

A directionally varying change points model for quantifying the impact of a point source

Uses Software

• spBayes

Cites Work

• Unnamed Item
• Unnamed Item
• Strictly and non-strictly positive definite functions on spheres
• A model for estimating point sources in spatial data
• Parametric covariance models for shock-induced stochastic processes
• Parametric nonstationary correlation models
• 10.1162/15324430260185646
• Sampling-Based Approaches to Calculating Marginal Densities
• Bayesian Spatial Modeling of Housing Prices Subject to a Localized Externality
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Equation of State Calculations by Fast Computing Machines

This page was built for publication: A nonstationary spatial covariance model for processes driven by point sources