The estimation of normal mixtures with latent variables
Gideon Magnus, Jan R. Magnus · Communication in Statistics- Theory and Methods · 2018
This paper considers the class of normal latent factor mixture models. It presents a method for estimating the posterior distribution of the parameters, derives analytical expressions for both the first and second derivatives of the posterior kernel (the score and Hessian), and provides posterior approximations that can be computed relatively quickly.