Joint modelling of location and scale parameters of the t distribution

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Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm (2009, background): “The family of scale mixtures of normal (SMN) distributions has attracted considerable attention; see, for example, Kelker (1970), Efron and Olshen (1978), Lange and Sinheimer (1993), Gneiting (1997), Taylor and Verbyla (2004), Walker and GutiérrezPeña (2007), and Lachos and Vilca (2007).”
Improved estimators for a general class of beta regression models (2008, methodology): “Barroso et al. (2002) present expressions to improve score tests in heteroscedastic Student-t models and more recently Taylor and Verbyla (2004) propose a joint modeling of location ans scale parameters in Student-t models.”
Reparameterized Birnbaum-Saunders regression models with varying precision (2016, methodology): “Landrent data were analyzed by Taylor and Verbyla [42], Lin et al.”
Variable selection for joint mean and dispersion models of the inverse Gaussian distribution (2012, background): “If the outliers are considered to be genuine then their accommodation, rather than deletion, Taylor and Verbyla (2004) proposed joint modelling of location and scale parameters of the t distribution.”