Statistical methods for regular monitoring data

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Separable approximations of space‐time covariance matrices (2007, methodology): “We refer to Haslett and Raftery (1989) for further information about this data set and to Gneiting (2002b), de Luna and Genton (2005), Stein (2005, 2006) , and Gneiting et al. (2007) for subsequent analyses.”
Geostatistical Space-Time Models, Stationarity, Separability, and Full Symmetry (2007, methodology): “We refer to Haslett and Raftery (1989) for background information and to Gneiting (2002a), Stein (2004, 2005) and de Luna and Genton (2005) for subsequent analyses of the Irish wind data.”
Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach (2012, background): “( 2004 ), Stein ( 2005 ), and Caragea and Smith ( 2006 ).”
Cross-covariance functions for multivariate random fields based on latent dimensions (2010, methodology): “Multivariate version of the model considered by several authors (Stein, 2005; Cox & Isham, 1988).”
Some covariance models based on normal scale mixtures (2011, methodology): “Another classification is based on the construction principles (Ma (2008)), such as spectral methods (Stein (2005a)), multiplicative mixture models (Ma (2002)), additive models (Ma (2005c)), turning bands upgrade (Kolovos et al. (2004)), derivatives and integrals (Ma (2005b)), and Gneiting’s (2002)…”