We propose a nested EM routine which guarantees monotone log-likelihood sequences and improved convergence rates in maximum likelihood estimation of latent class models with covariates.
A nested expectation-maximization algorithm for latent class models with covariates
Durante, Daniele
;Rigon, Tommaso
2019
Abstract
We propose a nested EM routine which guarantees monotone log-likelihood sequences and improved convergence rates in maximum likelihood estimation of latent class models with covariates.
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