1 citations · 2 across the 4 of their papers we have counts for
4 papers
A latent space model for multivariate count data time series analysis
Hardeep Kaur, Riccardo Rastelli
Motivated by a dataset of burglaries in Chicago, USA, we introduce a novel framework to analyze time series of count data combining common multivariate time series models with late…
Latent Position Network Models
Hardeep Kaur, Riccardo Rastelli, Nial Friel +1
In this chapter, we present a review of latent position models for networks. We review the recent literature in this area and illustrate the basic aspects and properties of this mo…
Optimal Bayesian estimators for latent variable cluster models
Riccardo Rastelli, Nial Friel
In cluster analysis interest lies in probabilistically capturing partitions of individuals, items or observations into groups, such that those belonging to the same group share sim…
Choosing the number of clusters in a finite mixture model using an exact Integrated Completed Likelihood criterion
Marco Bertoletti, Nial Friel, Riccardo Rastelli
The integrated completed likelihood (ICL) criterion has proven to be a very popular approach in model-based clustering through automatically choosing the number of clusters in a mi…