A nested expectation-maximization algorithm for latent class models with covariates

10 May 2017 · Daniele Durante, Antonio Canale, Tommaso Rigon ·

We propose a novel nested expectation-maximization algorithm for latent class models with covariates which allows maximization of the full-model log-likelihood and, differently from current methods, is characterized by a monotone log-likelihood sequence.