Nonparametric Bayesian models for a spatial covariance

DOI10.1016/j.stamet.2011.01.007zbMath1248.62170OpenAlexW2088028068WikidataQ42081906 ScholiaQ42081906MaRDI QIDQ713948

Montserrat Fuentes, Brian J. Reich

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3743268

zbMATH Keywords

spectral densityDirichlet process priorcovariance estimationparticulate matter

Mathematics Subject Classification ID

Related Items (11)

Nonparametric estimation of isotropic covariance function ⋮ Spatial regression with non-parametric modeling of Fourier coefficients ⋮ Nonparametric Bayesian inference in applications ⋮ A scalable Bayesian nonparametric model for large spatio-temporal data ⋮ Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres ⋮ Nonparametric Bayesian modeling and estimation of spatial correlation functions for global data ⋮ Nonparametric estimation of spatial and space-time covariance function ⋮ Bayesian spectral modeling for multivariate spatial distributions of elemental concentrations in soil ⋮ A hierarchical max-stable spatial model for extreme precipitation ⋮ Spatial Bayesian Nonparametric Methods ⋮ Multivariate isotropic random fields on spheres: nonparametric Bayesian modeling and \(L^p\) fast approximations

Uses Software

• spatial
• spBayes

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Nonparametric estimation of convex models via mixtures
• Prior distributions on spaces of probability measures
• A Bayesian analysis of some nonparametric problems
• Statistical Methods for Spatial Data Analysis
• Kernel stick-breaking processes
• Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease‐Mapping Models
• Nonparametric Bayesian inference for the spectral density function of a random field
• Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
• Order-Based Dependent Dirichlet Processes

This page was built for publication: Nonparametric Bayesian models for a spatial covariance