Abstract
Recently, there have been efforts to find a way to fit a computationally efficient Gaussian Markov Random Field (GMRF) on a discrete lattice to a Gaussian random field on a continuum space [86–88].
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Xu, Y., Choi, J., Dass, S., Maiti, T. (2016). New Efficient Spatial Model with Built-In Gaussian Markov Random Fields. In: Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-21921-9_6
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DOI: https://doi.org/10.1007/978-3-319-21921-9_6
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