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- W2330984407 abstract "A powerful modelling tool for spatial data is the framework of Gaussian Markov random fields (GMRFs), which are discrete domain Gaussian random fields equipped with a Markov property. GMRFs allow us to combine the analytical results for the Gaussian distribution as well as Markov properties, thus allow for the development of computationally efficient algorithms. Here we briefly review popular spatial GMRFs, show how to construct them, and outline their recent developments and possible future work." @default.
- W2330984407 created "2016-06-24" @default.
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- W2330984407 date "2013-01-01" @default.
- W2330984407 modified "2023-10-16" @default.
- W2330984407 title "Spatial Gaussian Markov Random Fields: Modelling, Applications and Efficient Computations" @default.
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- W2330984407 doi "https://doi.org/10.4172/2155-6180.1000e128" @default.
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