NICOLUSSI, FEDERICA
NICOLUSSI, FEDERICA
Dipartimento di Economia, Management e Metodi Quantitativi
Pandemic Data Quality Modelling: A Bayesian Approach = Modellazione della qualit`a dei dati pandemici: un approccio bayesiano
2023 L. Ferrari, G. Manzi, A. Micheletti, F. Nicolussi, S. Salini
A Heavily Trained Time-Dependent SIRD Model for Local Covid-19 Data in Italy
2022 L. Ferrari, G. Gerardi, G. Manzi, A. Micheletti, F. Nicolussi, E. Biganzoli, S. Salini
Could Emergency Calls and Twitter Activity Help to Prevent Health System Overloads Due to CoViD-19 Epidemic? Wavelets and Cross- Correlation as Useful Tools for Time-Frequency Signal Analysis: Lessons from Italian Lombardy Region
2022 B. Alessandro Rivieccio, A. Micheletti, M. Maffeo, M. Zignani, A. Comunian, F. Nicolussi, S. Salini, G. Manzi, F. Auxilia, M. Giudici, G. Naldi, S.T. Gaito, S. Castaldi, E. Biganzoli
Efficient unequal probability resampling from finite populations
2022 P.L. Conti, F. Mecatti, F. Nicolussi
Modeling provincial Covid-19 epidemic data using an adjusted time-dependent SIRD model
2021 A. Micheletti, L. Ferrari, G. Gerardi, G. Manzi, F. Nicolussi, E. Biganzoli, S. Salini
CoViD-19, learning from the past : A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region
2021 B.A. Rivieccio, A. Micheletti, M. Maffeo, M. Zignani, A. Comunian, F. Nicolussi, S. Salini, G. Manzi, F. Auxilia, M. Giudici, G. Naldi, S. Gaito, S. Castaldi, E. Biganzoli
Are Epidemiological Estimates Able to Describe the Ability of Health Systems to Cope with COVID-19 Epidemic?
2021 S. Castaldi, E. Luconi, B. Alessandro Rivieccio, P. Boracchi, G. Marano, E. Pariani, L. Romano', F. Auxilia, F. Nicolussi, A. Micheletti, G. Manzi, S. Salini, M. Galli, E. Biganzoli
Context-Specific Independencies in Stratified Chain Regression Graphical Models
2021 F. Nicolussi, M. Cazzaro
Classification Through Graphical Models: Evidences From the EU-SILC Data
2021 F. Nicolussi, A. Di Brisco, M. Cazzaro
Modeling provincial Covid-19 epidemic data using an adjusted time-dependent sird model
2021 L. Ferrari, G. Gerardi, G. Manzi, A. Micheletti, F. Nicolussi, E. Biganzoli, S. Salini
Monitoring emergency calls and social networks for covid-19 surveillance. To learn for the future: The outbreak experience of the lombardia region in Italy
2020 S. Castaldi, M. Maffeo, B.A. Rivieccio, M. Zignani, G. Manzi, F. Nicolussi, S. Salini, A. Micheletti, S. Gaito, E. Biganzoli
Gram–Charlier-Like Expansions of the Convoluted Hyperbolic-Secant Density
2020 F. Nicolussi, M.G. Zoia
Smooth Chain Graph Model of type II: a learning procedure
2020 F. Nicolussi
Investigation on Life Satisfaction Through (Stratified) Chain Regression Graph Models
2020 F. Nicolussi, M. Cazzaro
Modeling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model
2020 L. Ferrari, G. Gerardi, G. Manzi, A. Micheletti, F. Nicolussi, E. Biganzoli, S. Salini
Are health indicators able to describe the ability to cope of Health Systems with COVID-19 epidemic?
2020 S. Castaldi, E. Luconi, B.A. Rivieccio, P. Boracchi, G. Marano, E. Pariani, L. Romano', F. Auxilia, F. Nicolussi, A. Micheletti, G. Manzi, S. Salini, M. Galli, E.M. Biganzoli
Learning procedure for chain (stratified) graphical models
2019 F. Nicolussi, M. Cazzaro, A. Maria Di Brisco
A Simplified Efficient and Direct Unequal Probability Resampling = Un semplice Ricampionamento, efficiente e diretto per campioni a probabilita variabili
2019 F. Nicolussi, F. Mecatti, P.L. Conti
Context-Specific independencies embedded in Chain Graph Models of type I
2019 F. Nicolussi, M. Cazzaro
Context-specific independence in innovation study
2019 F. Nicolussi, M. Cazzaro