Parsimonious hidden Markov models for matrix-variate longitudinal data

Hidden Markov models (HMMs) have been extensively used in the univariate and multivariate literature. However, there has been an increased interest in the analysis of matrix-variate data over the recent years. In this manuscript we introduce HMMs for matrix-variate balanced longitudinal data, by ass...

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Detalles Bibliográficos
Autores principales: Tomarchio, Salvatore D., Punzo, Antonio, Maruotti, Antonello
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198417/
https://www.ncbi.nlm.nih.gov/pubmed/35730052
http://dx.doi.org/10.1007/s11222-022-10107-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198417/
https://www.ncbi.nlm.nih.gov/pubmed/35730052
http://dx.doi.org/10.1007/s11222-022-10107-0

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