Bayesian spectral modeling for multivariate spatial distributions of elemental concentrations in soil
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Publication:1752000
DOI10.1214/16-BA1034zbMath1462.62709arXiv1505.07798MaRDI QIDQ1752000
Matthew Polizzotto, Dean Hesterberg, Montserrat Fuentes, Maria A. Terres
Publication date: 25 May 2018
Published in: Bayesian Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1505.07798
Directional data; spatial statistics (62H11) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)
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- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Extending the rank likelihood for semiparametric copula estimation
- A spatial model for multivariate lattice data
- A spatial analysis of multivariate output from regional climate models
- Nonparametric Bayesian models for a spatial covariance
- Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing
- Multi-dimensional multivariate Gaussian Markov random fields with application to image processing
- Correlation theory of stationary and related random functions. Volume II: Supplementary notes and references
- Interpolation of spatial data. Some theory for kriging
- Bayesian spectral modeling for multivariate spatial distributions of elemental concentrations in soil
- SPECTRAL ANALYSIS WITH TAPERED DATA
- Computationally exploitable structure of covariance matrices and generalized convariance matrices in spatial models
- Generalized Hierarchical Multivariate CAR Models for Areal Data
- A First Course in Bayesian Statistical Methods
- Gaussian Predictive Process Models for Large Spatial Data Sets
- Edge effects and efficient parameter estimation for stationary random fields
- Parameter estimation for a stationary process on a d-dimensional lattice
- Spectral methods for nonstationary spatial processes
- A Full Scale Approximation of Covariance Functions for Large Spatial Data Sets
- Approximating Likelihoods for Large Spatial Data Sets
- A Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components
- Order-Free Co-Regionalized Areal Data Models with Application to Multiple-Disease Mapping
- Approximate Likelihood for Large Irregularly Spaced Spatial Data
- Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
- Proper multivariate conditional autoregressive models for spatial data analysis
- The Deviance Information Criterion: 12 Years on
- Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes
- ON STATIONARY PROCESSES IN THE PLANE
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