Longitudinal Latent Markov Processes Observable Through an Invariant Rasch Model

DOI10.1007/978-0-8176-4971-5_6zbMath1407.62359OpenAlexW951838442MaRDI QIDQ4562189

Moussedek Bousseboua, Mounir Mesbah

Publication date: 18 December 2018

Published in: Mathematical and Statistical Models and Methods in Reliability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-0-8176-4971-5_6

zbMATH Keywords

EM algorithmlongitudinal dataMarkov processmarginal likelihoodlatent variable modelsquality of lifeRasch modelmeasurement modelAR processunobserved process

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Reliability and life testing (62N05)

Cites Work

• Unnamed Item
• Generalized estimating equations for longitudinal mixed Rasch model
• Likelihood Inference for a Class of Latent Markov Models under Linear Hypotheses on the Transition Probabilities

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