“…Early work on non-Gaussian mixtures was on mixtures of multivariate t-distributions (e.g., Peel and McLachlan, 2000). A little beyond the turn of the century, work on t-mixtures burgeoned into a substantial subfield of mixture model-based classification (e.g., McLachlan et al, 2007;McNicholas, 2011a,b, 2012;Baek and McLachlan, 2011;Steane et al, 2012;Lin et al, 2014;Pesevski et al, 2018). Around the same time, work on mixtures of skewed distributions took off, including work on skew-normal mixtures (e.g., Lin, 2009), skewt mixtures (e.g., Lin, 2010;McNicholas, 2012, 2014;Lee and McLachlan, 2013a,b;Murray et al, 2014), Laplace mixtures (e.g., Franczak et al, 2014), variance-gamma mixtures (McNicholas et al, 2017), generalized hyperbolic mixtures (Browne and McNicholas, 2015), and other non-elliptically contoured distributions (e.g., Karlis and Santourian, 2009;Murray et al, 2017;Tang et al, 2018).…”