Rejoinder on: ``Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates

DOI10.1007/S11749-014-0393-3zbMath1305.62300OpenAlexW1993986611WikidataQ59396796 ScholiaQ59396796MaRDI QIDQ2513937

Alessio Farcomeni, Francesco Bartolucci, Fulvia Pennoni

Publication date: 29 January 2015

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-014-0393-3

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to social sciences (62P25) Bayesian inference (62F15) Markov processes: estimation; hidden Markov models (62M05) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Prediction theory (aspects of stochastic processes) (60G25)

Related Items (4)

Latent class recapture models with flexible behavioural response ⋮ Bayesian latent multi‐state modeling for nonequidistant longitudinal electronic health records ⋮ Linear quantile regression models for longitudinal experiments: an overview ⋮ Panel Data Analysis via Mechanistic Models

Cites Work

• Finite Markov processes in psychology
• Mixed Hidden Markov Models
• Unnamed Item

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