Latent Markov and growth mixture models for ordinal individual responses with covariates: A comparison

DOI10.1002/SAM.11335OpenAlexW2568697087MaRDI QIDQ4970365

Fulvia Pennoni, Isabella Romeo

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11335

zbMATH Keywords

Monte Carlo methodsmaximum likelihoodexpectation-maximization algorithmforward-backward recursionsdynamic factor modellatent trajectories

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

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