Efficient likelihood computations for some multivariate Gaussian Markov random fields
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Publication:1795579
DOI10.1016/j.jmva.2018.07.007zbMath1401.62188OpenAlexW2884884743MaRDI QIDQ1795579
Publication date: 16 October 2018
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2018.07.007
maximum likelihood estimationlattice datamultivariate observationsconditional autoregressive modelGaussian Markov random fieldsregional data
Random fields; image analysis (62M40) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
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- A spatial model for multivariate lattice data
- A spatial analysis of multivariate output from regional climate models
- Multi-dimensional multivariate Gaussian Markov random fields with application to image processing
- Exact maximum likelihood for incomplete data from a correlated gaussian process
- Generalized Hierarchical Multivariate CAR Models for Areal Data
- Valid parameter space of 2-D Gaussian Markov random fields
- A frequency domain comparison of estimation methods for gaussian fields
- Noncausal Gauss Markov random fields: parameter structure and estimation
- Fast and Exact Simulation of Stationary Gaussian Processes through Circulant Embedding of the Covariance Matrix
- A Bivariate Bayes Method for Improving the Estimates of Mortality Rates With a Twofold Conditional Autoregressive Model
- A frequency domain algorithm for maximum likelihood estimation of gaussian fields
- Gaussian Markov Random Fields
- Approximations to the covariance properties of processes averaged over irregular spatial regions
- Order-Free Co-Regionalized Areal Data Models with Application to Multiple-Disease Mapping
- A general modelling framework for multivariate disease mapping
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