14 citations · 30 across the 10 of their papers we have counts for
4 papers · 1 filter
Pandemic Data Quality Modelling: A Bayesian Approach
Luisa Ferrari, Giancarlo Manzi, Alessandra Micheletti +2
When pandemics like COVID-19 spread around the world, the rapidly evolving situation compels officials and executives to take prompt decisions and adapt policies depending on the c…
Group pattern detection of longitudinal data using functional statistics
Rongjiao Ji, Alessandra Micheletti, Nataša Krklec Jerinkić +1
Estimations and evaluations of the main patterns of time series data in groups benefit large amounts of applications in various fields. Different from the classical auto-correlatio…
Modelling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model
Luisa Ferrari, Giuseppe Gerardi, Giancarlo Manzi +4
In this paper we develop a predictive model for the spread of COVID-19 infection at a provincial (i.e. EU NUTS-3) level in Italy by using official data from the Italian Ministry of…
A clustering algorithm for multivariate data streams with correlated components
Giacomo Aletti, Alessandra Micheletti
Common clustering algorithms require multiple scans of all the data to achieve convergence, and this is prohibitive when large databases, with data arriving in streams, must be pro…