29 citations · 53 across the 15 of their papers we have counts for
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stat.ME2021
Parsimonious Hidden Markov Models for Matrix-Variate Longitudinal Data
Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti
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-variat…
stat.AP2021
Spatial modelling of COVID-19 incident cases using Richards' curve: an application to the Italian regions
Marco Mingione, Pierfrancesco Alaimo Di Loro, Alessio Farcomeni +4
We introduce an extended generalised logistic growth model for discrete outcomes, in which a network structure can be specified to deal with spatial dependence and time dependence…