34 citations · 50 across the 7 of their papers we have counts for
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stat.ME2018★ 7 cited
Modelling heterogeneity in Latent Space Models for Multidimensional Networks
Silvia D'Angelo, Marco Alfò, Thomas Brendan Murphy
Multidimensional network data can have different levels of complexity, as nodes may be characterized by heterogeneous individual-specific features, which may vary across the networ…
stat.ME2018★ 1 cited
A non-homogeneous hidden Markov model for partially observed longitudinal responses
Maria Francesca Marino, Marco Alfo'
Dropout represents a typical issue to be addressed when dealing with longitudinal studies. If the mechanism leading to missing information is non-ignorable, inference based on the…