activity
20152020
most citedLatent Space Modeling of Multidimensional Networks with Application to the Exchange of Votes in Eurovision Song Contest

34 citations · 50 across the 7 of their papers we have counts for

collaborators

8 papers

stat.ME2020★ 2 cited

Model-based clustering for multidimensional social networks

Silvia D'Angelo, Marco Alfò, Michael Fop

Social network data are relational data recorded among a group of actors, interacting in different contexts. Often, the same set of actors can be characterized by multiple social r…

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…

stat.AP2018★ 34 cited

Latent Space Modeling of Multidimensional Networks with Application to the Exchange of Votes in Eurovision Song Contest

Silvia D'Angelo, Thomas Brendan Murphy, Marco Alfò

The Eurovision Song Contest is a popular TV singing competition held annually among country members of the European Broadcasting Union. In this competition, each member can be both…

stat.ME2017

A bi-dimensional finite mixture model for longitudinal data subject to dropout

Alessandra Spagnoli, Maria Francesca Marino, Marco Alfò

In longitudinal studies, subjects may be lost to follow-up, or miss some of the planned visits, leading to incomplete response sequences. When the probability of non-response, cond…

stat.ME2017

Semi-Parametric Empirical Best Prediction for small area estimation of unemployment indicators

Maria Francesca Marino, Maria Giovanna Ranalli, Nicola Salvati +1

The Italian National Institute for Statistics regularly provides estimates of unemployment indicators using data from the Labor Force Survey. However, direct estimates of unemploym…