Bootstrap Confidence Sets for the Number of Components in Finite Mixture Regression Models
Finite mixture regression analyses usually treat the selected number of components as fixed, although neighboring orders may be difficult to distinguish. This paper develops a set-valued procedure for the order of a Gaussian finite mixture regression. A Bayesian information criterion (BIC) fit supplies a reference orde...