NICOLUSSI, FEDERICA
NICOLUSSI, FEDERICA
Dipartimento di Economia, Management e Metodi Quantitativi
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
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
A smooth subclass of graphical models for chain graph : towards measuring gender gaps
2016 F. Nicolussi, F. Mecatti
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
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
Chain Graphical Models- a German and Hungarian Study on Poverty and Social Environment
2016 F. Nicolussi
Classification Through Graphical Models: Evidences From the EU-SILC Data
2021 F. Nicolussi, A. Di Brisco, M. Cazzaro
Context-specific independence in innovation study
2019 F. Nicolussi, M. Cazzaro
Context-specific independence in innovation study
2017 F. Nicolussi, M. Cazzaro
Context-Specific independencies embedded in Chain Graph Models of type I
2019 F. Nicolussi, M. Cazzaro
Context-specific independencies for ordinal variables in chain regression models
2017 F. Nicolussi, M. Cazzaro
Context-specific independencies in Hierarchical Multinomial Marginal models
2019 F. Nicolussi, M. Cazzaro
Context-Specific Independencies in Stratified Chain Regression Graphical Models
2021 F. Nicolussi, M. Cazzaro
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
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
Efficient unequal probability resampling from finite populations
2022 P.L. Conti, F. Mecatti, F. Nicolussi
Financial applications based on Gram-Charlier expansions
2016 P. Biffi, F. Nicolussi, M.G. Zoia
Gram–Charlier-Like Expansions of the Convoluted Hyperbolic-Secant Density
2020 F. Nicolussi, M.G. Zoia
Investigation on Life Satisfaction Through (Stratified) Chain Regression Graph Models
2020 F. Nicolussi, M. Cazzaro
Italian conference on survey methodology : book of abstract.
2013 F. Nicolussi, F. Mecatti