Sinh-arcsinh distributions

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Most Likely Transformations (2015, background): “(1995) and Kooperberg and Clarkson (1997) introduced a cubic spline parameterisation of the log-conditional hazard function with the possibility of response-varying effects and estimated the corresponding models by maximum likelihood.”
On Families of Distributions with Shape Parameters (2015, unknown): “When g = φ , f R ; sas is unimodal for all a ∈ R , b > 0 (Jones & Pewsey, 2009).”
Study of the rare decays of Bs0 and B0 mesons into muon pairs using data collected during 2015 and 2016 with the ATLAS detector (2018, methodology): “The shape of the B+ → J/ψK+ mass distribution is parameterised using a Johnson SU function [32, 33].”
Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors (2014, background): “We also need to get more experience deriving joint priors for two or more parameters, such as a joint prior for the skewness and kurtosis deviation from a Gaussian (Jones and Pewsey, 2009).”
Fast Calibrated Additive Quantile Regression (2017, methodology): “We do this parametrically, by fitting the sinh-arsinh distribution of Jones and Pewsey (2009) to the zi’s.”