Cecilia VISCARDI

Ruolo attuale:: Ricercatore Legge 240/10 a tempo determinato
SSD:: SECS-S/01 - Statistica
Afferenza organizzativa:: Dipartimento di Statistica, Informatica, Applicazioni 'G. Parenti' (DiSIA)

Recapiti

cecilia.viscardi(AT)unifi.it

Cecilia VISCARDI

Orario di ricevimento (aggiornato al 03/01/2023)

Giovedì 10:30-12:30.

Si consiglia di inviare una mail per fissare un appuntamento.

Cecilia VISCARDI

Curriculum

Esperienze di lavoro

2022 - oggi: Ricercatrice a tempo determinato (RTDa)

Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, Università degli studi di Firenze

2020 - 2022: Assegnista di ricerca

Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, Università degli studi di Firenze

Istruzione e formazione

2017-2021: Dottorato di ricerca in Matematica, Informatica, Statistica - curriculum Statistica (cum laude) - Università degli studi di Firenze

2015-2017: Laurea Magistrale in Statistica, Scienze Attuariali e Finanziarie - LM-82 (110/110 cum laude) - Università degli studi di Firenze

2012-2015: Laurea Triennale in Economia Aziendale - L-18 (110/110 cum laude) - Università degli studi di Salerno

Interessi di ricerca

Statistica Bayesiana, Metodi Monte Carlo, Approximate Bayesian Computation, Simulation-based Inference, Inferenza likelihood-free, Modelli Compartimentali in Epidemiologia.

Informazioni aggiuntive

Premi e riconoscimenti

Travel support for junior researchers for the 2022 ISBA world meeting

Research grant for Short Term Scientific Mission (STSM) presso Institute of Computational Science, Lugano COST (Action nr. CA15109)

Travel support for junior researchers for the 2018 ISBA world meeting

Borsa di studio per dottorato presso Università degli studi di Firenze (2017-2020)

Attività editoriale per riviste scientifiche

Associate Editor per Journal of Computational and Graphical Statistics

Reviewer per Annals of Applied Statistics, Journal of Statistical Software, Italian Journal of Applied Statistics, Plos One, Journal of Epidemiology and Global Health

Cecilia VISCARDI

Pubblicazioni

Legenda

Contributo su rivista |

Articolo su libro |

Libro |

Contributo in atti di convegno (proceeding) |

Brevetto |

Curatela | Altro

Altro |

Tesi di Dottorato

alessio lachi; cecilia viscardi; michela baccini (2023). Approximate Bayesian Inference for Smoking Habit Dynamics in Tuscany. In: BAYSM 2022, Springer, vol. 435, pp. 0-0, ISBN:978-3-031-42413-7 DOI

Cecilia Viscardi; Silvia Monchetti; Luisa Collodi; Gianni Bartoli; Michele Betti; Michele Boreale; Fabio Corradi (2023). Approximate Bayesian Computation for Probabilistic Damage Identification. In: Statistical Learning, Sustainability and Impact Evaluation, Pearson, pp. 544-549, ISBN:9788891935618

Prangle, Dennis; Viscardi, Cecilia (2023). Distilling Importance Sampling for Likelihood Free Inference. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, vol. --, pp. 1-22, ISSN:1061-8600 DOI Accesso ONLINE all'editore

Silvia Monchetti, Cecilia Viscardi, Michele Betti, Francesco Clementi (2023). Comparison between Bayesian updating and approximate Bayesian computation for model identification of masonry towers through dynamic data. BULLETIN OF EARTHQUAKE ENGINEERING, vol. --, pp. 0-0, ISSN:1573-1456 DOI

Giulia Cereda; Fabio Corradi; Cecilia Viscardi (2023). Comparing Soft Classification Methods for the Rare Type Match Problem. In: 14th Scientific Meeting of the Classification and Data Analysis Group, Pearson, pp. 378-381, ISBN:9788891935632

Giulia Cereda; Fabio Corradi; Cecilia Viscardi (2022). Learning the two parameters of the Poisson–Dirichlet distribution with a forensic application. SCANDINAVIAN JOURNAL OF STATISTICS, pp. 1-21, ISSN:0303-6898 DOI

Cereda, Giulia ; Viscardi, Cecilia ; Baccini, Michela (2022). Combining and comparing regional SARS-CoV-2 epidemic dynamics in Italy: Bayesian meta-analysis of compartmental models and global sensitivity analysis. FRONTIERS IN PUBLIC HEALTH, vol. 10, pp. 0-0, ISSN:2296-2565 DOI Accesso ONLINE all'editore

Monchetti S.; Viscardi C.; Betti M.; Bartoli G. (2022). Bayesian-based model updating using natural frequency data for historic masonry towers. PROBABILISTIC ENGINEERING MECHANICS, vol. 70, pp. 1-18, ISSN:0266-8920 DOI Accesso ONLINE all'editore

Alessio Lachi, Cecilia Viscardi, Maria Chiara Malevolti, Giulia Carreras, Michela Baccini (2022). Compartmental models in epidemiology: Application on Smoking Habits in Tuscany. In: SIS2022 - 51st Scientific Meeting of the Italian Statistical Society, Pearson, pp. 1437-1442, ISBN:9788891932310

Giulia Cereda, Fabio Corradi, Cecilia Viscardi (2022). Exploiting partial knowledge to evaluate the average causal effect via an ABC perspective. In: SIS2022 - 51st Scientific Meeting of the Italian Statistical Society, Pearson, pp. 914-919, ISBN:9788891932310

Cecilia Viscardi (2021). Approximate Bayesian Computation and Statistical Applications to Anonymized Data: an Information Theoretic Perspective.. (Tutor: Fabio Corradi, Michele Boreale)

Fabio Corradi, Cecilia Viscardi, Michele Boreale, Antonietta Mira (2021). Inference on Markov chains parameters via Large Deviations ABC. In: SIS 2021, Pisa, 21-25 Giugno 2021, Pearson, pp. 1518-1523, ISBN:9788891927361 Accesso ONLINE all'editore

Baccini M.; Cereda G.; Viscardi C. (2021). The first wave of the SARS-CoV-2 epidemic in Tuscany (Italy): A SI2R2D compartmental model with uncertainty evaluation. PLOS ONE, vol. 16, pp. 0-0, ISSN:1932-6203 DOI

Cecilia Viscardi, Michele Boreale, Fabio Corradi (2021). Weighted approximate Bayesian computation via Sanov’s theorem. COMPUTATIONAL STATISTICS, vol. 36, pp. 2719-2753, ISSN:0943-4062 Accesso ONLINE all'editore

Cecilia Viscardi; Fabio Corradi; Michele Boreale (2020). Improving ABC via large deviations theory. In: 50th Meeting of the Italian Statistical Society, Pearson, pp. 673-678, ISBN:9788891910776 Accesso ONLINE all'editore

Boreale M.; Corradi F.; Viscardi C. (2020). Relative privacy threats and learning from anonymized data. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, vol. 15, pp. 1379-1393, ISSN:1556-6013 DOI Accesso ONLINE all'editore

Giulia Cereda; Cecilia Viscardi; Anna Gottard; Fabrizia Mealli; Michela Baccini (2020). Analisi e previsioni dell’epidemia da SARS-CoV-2 in Toscana / Analysis and future scenarios of the SARS-CoV-2 epidemic in Tuscany Region (Central Italy). EPIDEMIOLOGIA E PREVENZIONE, vol. 44, pp. 120-127, ISSN:1120-9763 DOI

Cecilia VISCARDI

Insegnamenti relativi all'Anno Accademico

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Cecilia VISCARDI

Curriculum

Work Experience

2022 - present: Assistant Professor (RTDa)

Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, University of Florence

2020 - 2022: Post-doctoral Fellow (Assegnista di ricerca)

Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, University of Florence

Education

2017-2021: Phd in Statistics (cum laude) - University of Florence

2015-2017: MSc in Statistics, LM-82 (110/110 cum laude) - University of Florence

2012-2015: BSc in Business Administration, L-18 (110/110 cum laude) - University of Salerno

Research interests

Bayesian Statistics, Monte Carlo methods, Approximate Bayesian Computation, Simulation-based Inference, Likelihood-free inference, Compartmental models in epidemiology

Additional Information

Honours, Awards and Grants

Travel support for junior researchers for the 2022 ISBA world meeting

Research grant for Short Term Scientific Mission (STSM) at the Institute of Computational Science, Lugano COST (Action nr. CA15109)

Travel support for junior researchers for the 2018 ISBA world meeting

Doctoral scholarship at the University of Florence (2017-2020)

Editorial activities

Associate Editor for the Journal of Computational and Graphical Statistics

Reviewer for Annals of Applied Statistics, Journal of Statistical Software, Italian Journal of Applied Statistics, Plos One, Journal of Epidemiology and Global Health

Cecilia VISCARDI

Cecilia VISCARDI

Cecilia VISCARDI

Cecilia VISCARDI

Cecilia VISCARDI

Insegnamenti relativi all'Anno Accademico 2023-2024 2022-2023 2021-2022

Cecilia VISCARDI

Insegnamenti relativi all'Anno Accademico