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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| 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 |