Parallel exact sampling and evaluation of Gaussian Markov random fields
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Publication:1019927
DOI10.1016/j.csda.2006.01.013zbMath1161.62410OpenAlexW2053263329MaRDI QIDQ1019927
Publication date: 29 May 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2006.01.013
Random fields; image analysis (62M40) Numerical analysis or methods applied to Markov chains (65C40) Geostatistics (86A32) Parallel numerical computation (65Y05)
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Cites Work
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- Fast Sampling of Gaussian Markov Random Fields
- Space-varying regression models: specifications and simulation
- The Multifrontal Method for Sparse Matrix Solution: Theory and Practice
- Model-Based Geostatistics
- Analytic Convergence Rates and Parameterization Issues for the Gibbs Sampler Applied to State Space Models
- Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes
- The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem
- Dynamic modelling and penalized likelihood estimation for discrete time survival data
- On Gibbs sampling for state space models
- Likelihood analysis of non-Gaussian measurement time series
- Fitting Gaussian Markov Random Fields to Gaussian Fields
- On Block Updating in Markov Random Field Models for Disease Mapping
- Approximating Hidden Gaussian Markov Random Fields
- Gaussian Markov Random Fields
- Efficient parametrisations for normal linear mixed models
- Statistics for Spatial Data
- Handbook of Parallel Computing and Statistics
- Monte Carlo strategies in scientific computing
- Parallel algorithms for linear models. Numerical methods and estimation problems