A latent Gaussian Markov random‐field model for spatiotemporal rainfall disaggregation

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Disaggregating daily precipitations into hourly values with a transformed censored latent Gaussian process (2015, unknown): “Thompson et al. (2007) and Ailliot et al. (2009) used a power function, but Allcroft and Glasbey (2003) reported that a power transformation is not adequate to achieve normality.”
Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (2009, unknown): “Allcroft and Glasbey (2003); Carlin and Banerjee (2003); Knorr-Held (2000); Knorr-Held and Besag (1998) and Wikle et al.”
A latent Gaussian model for compositional data with zeros (2008, methodology): “Latent Gaussian models have been successfully used to deal with the presence of zero values in a range of applications (Tobin, 1958; Allcroft and Glasbey, 2003a,b), and in this paper we argue that an analogous approach can be used for the analysis of compositional data that contain zero values.”
Daily spatiotemporal precipitation simulation using latent and transformed Gaussian processes (2012, background): “Other authors have considered similar estimation approaches to spatial correlations [Allcroft and Glasbey, 2003; Baigorria and Jones, 2010; Durban and Glasbey, 2001].”