| Modeling provincial covid-19 epidemic data using an adjusted time-dependent sird model L Ferrari, G Gerardi, G Manzi, A Micheletti, F Nicolussi, E Biganzoli, ... International journal of environmental research and public health 18 (12), 6563, 2021 | 39 | 2021 |
| Value at risk and expected shortfall based on Gram-Charlier-like expansions MG Zoia, P Biffi, F Nicolussi Journal of Banking & Finance 93, 92-104, 2018 | 37 | 2018 |
| Monitoring emergency calls and social networks for COVID-19 surveillance. To learn for the future: the outbreak experience of the Lombardia region in Italy S Castaldi, M Maffeo, BA Rivieccio, M Zignani, G Manzi, F Nicolussi, ... Acta Bio Medica: Atenei Parmensis 91 (9-S), 29, 2020 | 24 | 2020 |
| Nutrient-based dietary patterns and nasopharyngeal cancer: evidence from an exploratory factor analysis V Edefonti, F Nicolussi, J Polesel, F Bravi, C Bosetti, W Garavello, ... British journal of cancer 112 (3), 446-454, 2015 | 19 | 2015 |
| 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 BA Rivieccio, A Micheletti, M Maffeo, M Zignani, A Comunian, F Nicolussi, ... PLoS One 16 (2), e0247854, 2021 | 12 | 2021 |
| Marginal parametrizations for conditional independence models and graphical models for categorical data F Nicolussi Università degli Studi di Milano-Bicocca, 2013 | 9 | 2013 |
| Efficient unequal probability resampling from finite populations PL Conti, F Mecatti, F Nicolussi Computational Statistics & Data Analysis 167, 107366, 2022 | 6 | 2022 |
| Context-specific independencies in stratified chain regression graphical models F Nicolussi, M Cazzaro | 6 | 2021 |
| Modeling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model L Ferrari, G Gerardi, G Manzi, A Micheletti, F Nicolussi, E Biganzoli, ... | 5 | 2020 |
| Context-specific independencies for ordinal variables in chain regression models F Nicolussi, M Cazzaro arXiv preprint arXiv:1712.05229, 2017 | 5 | 2017 |
| Context-specific independencies in hierarchical multinomial marginal models F Nicolussi, M Cazzaro Statistical Methods & Applications 29 (4), 767-786, 2020 | 4 | 2020 |
| Gram–charlier-like expansions of the convoluted hyperbolic-secant density F Nicolussi, MG Zoia Journal of Statistical Theory and Practice 14, 1-29, 2020 | 4 | 2020 |
| Type II chain graph models for categorical data: A smooth subclass F Nicolussi, R Colombi | 4 | 2017 |
| Trivariate Burr-III copula with applications to income data L De Capitani, F Nicolussi, A Zini Metron 75, 109-124, 2017 | 4 | 2017 |
| Graphical model of type II: a smooth subclass F Nicolussi, R Colombi Dipartimento di Statistica e Metodi Quantitativi Working Papers, 2014 | 4 | 2014 |
| COVID-19 in Italy: an app for a province-based analysis L Ferrari, G Gerardi, G Manzi, A Micheletti, F Nicolussi, S Salini | 3 | 2020 |
| Are epidemiological estimates able to describe the ability of Health Systems to cope with COVID-19 epidemic? S Castaldi, E Luconi, BA Rivieccio, P Boracchi, G Marano, E Pariani, ... Risk Management and Healthcare Policy, 2221-2229, 2021 | 2 | 2021 |
| Are health indicators able to describe the ability to cope of Health Systems with COVID-19 epidemic? S Castaldi, E Luconi, BA Rivieccio, P Boracchi, G Marano, E Pariani, ... medRxiv, 2020.06. 13.20130146, 2020 | 2 | 2020 |
| COVID-Pro in Italy: a dashboard for a province-based analysis L Ferrari, G Gerardi, G Manzi, A Micheletti, F Nicolussi, S Salini arXiv preprint arXiv:2004.12779, 2020 | 1 | 2020 |
| A smooth subclass of graphical models for chain graph: towards measuring gender gaps F Nicolussi, F Mecatti Quality & Quantity 50, 27-41, 2016 | 1 | 2016 |
