Papers › A nested expectation-maximization algorithm for latent class models with covariates
A nested expectation-maximization algorithm for latent class models with covariates
Daniele Durante, Antonio Canale, Tommaso Rigon
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We develop a nested EM routine for latent class models with covariates which allows maximization of the full-model log-likelihood and, differently from current methods, guarantees monotone log-likelihood sequences along with improved convergence rates.
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